- published: 21 Aug 2015
- views: 166270
-
remove the playlistSocial Network Analysis
- remove the playlistSocial Network Analysis
Social network analysis
Social network analysis (SNA) is the process of investigating social structures through the use of network and graph theories. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties or edges (relationships or interactions) that connect them. Examples of social structures commonly visualized through social network analysis include social media networks, friendship and acquaintance networks, kinship, disease transmission,and sexual relationships. These networks are often visualized through sociograms in which nodes are represented as points and ties are represented as lines.
Social network analysis has emerged as a key technique in modern sociology. It has also gained a significant following in anthropology, biology, communication studies, economics, geography, history, information science, organizational studies, political science, social psychology, development studies, and sociolinguistics and is now commonly available as a consumer tool.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Social_network_analysis
Cascade, Atlanta
Cascade in Atlanta may refer to:
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Cascade,_Atlanta
Cascade (juggling)
In toss juggling, a cascade is the simplest juggling pattern achievable with an odd number of props. The simplest juggling pattern is the three-ball cascade. This is therefore the first pattern that most jugglers learn. "Balls or other props follow a horizontal figure-eight pattern above the hands." In siteswap, each throw in a cascade is notated using the number of balls; thus a three ball cascade is "3".
Number of props
Three-ball
For the three-ball cascade the juggler starts with two balls in one hand and the third ball in the other hand. One ball is thrown from the first hand in an arc to the other hand. Before catching this ball the juggler must throw the ball in the receiving hand, in a similar arc, to the first hand. The pattern continues in this manner with each hand in turn throwing one ball and catching another.
All balls are caught on the outside of the pattern (on the far left and right) and thrown from closer to the middle of the pattern. The hand moves toward the middle to throw, and back towards the outside to catch the next object. Because the hands must move up and down when throwing and catching, putting this movement together causes the left hand to move in a counterclockwise motion, and the right hand to move in a clockwise motion.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Cascade_(juggling)
René Lesson
René Primevère Lesson (20 March 1794 – 28 April 1849) was a French surgeon, naturalist, ornithologist, and herpetologist.
Biography
He was born at Rochefort, and entered the Naval Medical School in Rochefort at the age of sixteen. He served in the French Navy during the Napoleonic Wars; in 1811 he was third surgeon on the frigate Saale, and in 1813 was second surgeon on the Regulus.
In 1816 Lesson changed his classification to pharmacist. He served on Duperrey's round-the-world voyage of La Coquille (1822–25), of which he collected natural history specimens with his fellow surgeon Prosper Garnot and officer Dumont d'Urville. During his visits to the Moluccas and New Guinea, Lesson became the first naturalist to see birds of paradise in the wild.
On returning to Paris, he spent seven years preparing the section on vertebrates for the official account of the expedition: "Voyage autour du monde entrepris par ordre du Gouvernement sur la corvette La Coquille" (published from 1826 to 1839). During this time period, he also produced "Manuel d'Ornithologie" (1828), "Traité d'Ornithologie" (1831), "Centurie Zoologique" (1830–32) and "Illustrations de Zoologie" (1832–35). Lesson also published several monographs on hummingbirds and one book on birds of paradise:
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/René_Lesson
Dance Dance Revolution Hottest Party 2
Dance Dance Revolution Hottest Party 2, later released as Dance Dance Revolution FullFull Party (ダンスダンスレボリューション フルフル♪パーティー, Dansu Dansu Reboryūshon FuruFuru Pātī) in Japan, was announced by Konami on May 15, 2008 as part of the 10th anniversary of Dance Dance Revolution celebration. Hottest Party 2 features the same gameplay as the first Hottest Party and introduces new gameplay modes, gimmicks, characters and graphical enhancements. The game also features an all new soundtrack featuring licensed music from the past four decades as well as new Konami Originals. Hottest Party 2 was released on September 16, 2008 in North America. A teaser site for the Japanese release was launched on December 9, 2008 featuring new gameplay footage from the game.
Development
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Dance_Dance_Revolution_Hottest_Party_2
Lecture 21
Lecture 21 (aka 'Lezione 21' 'Lesson 21') is a 2008 British-Italian film written and directed by Alessandro Baricco and starring John Hurt, Noah Taylor and Leonor Watling. The film is in English.
The film is set in 1824, 1997 and 2007 and tells the tale of a Professor (John Hurt) delivering a lecture about a musician (Noah Taylor) coming to a remote village in the mountains to better understand Beethoven's 9th symphony before he dies. The film is presented as a documentary, as Leonor Watling and her friends recall the lesson, the audience views what happens as though it were real. The lesson is interspersed with documentary-style interviews of a variety of musicians, who provide a secondary narration.
It also features Clive Russell, Matthew T. Reynolds, Daniel Tuite, Andy Gathergood, Rasmus Hardiker, Michael Jibson and Natalia Tena.
It had its North American premiere at the Miami International Film Festival in 2009.
Reception
The film received generally positive reviews from critics, with praise mostly focusing on its cinematography. It currently holds a 100% critical score on Rotten Tomatoes based on 1 review and a 57% audience score based on 402 reviews (as of September 2015), together indicating generally mixed reviews. It is not listed on Metacritic.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Lecture_21
Downstream
Downstream may refer to:
In entertainment:
See also
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Downstream
Podcasts:
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What is Social Network Analysis?
You use social networks every day, but how can we understand how they work to affect our decisions, our careers, our health, and our histories? The field of Social Network Analysis is the dynamic and highly adaptable group of techniques that let us quantify and understand the complex structures and flows of relationships, thoughts, and things between people around the world. Look at your own social networks at these links: Check your own personal Facebook social network with Touchgraph: http://www.touchgraph.com/facebook Check your own personal LinkedIn social network with Socilab: http://socilab.com/ Check your own personal Twitter social network with Mentionmapp: http://mentionmapp.com/ Social Network Analysis can enrich the research of faculty and the studies of students—look for wor...
published: 21 Aug 2015 -
Introduction to Social Network Analysis [1/5]: Main Concepts
Workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netzwerke co-organised by HNR and ResHist. The script is available here: https://doi.org/10.5281/zenodo.5083036 Chinese subtitles provided by the Hong Kong Baptist University Library – Digital Scholarship & Scholarly Communication Services (https://digital.lib.hkbu.edu.hk/) This workshop, intended for a beginner audience, proposes to review the main concepts of social network analysis (terminology, visual analysis, centrality measures, communities, etc.) while highlighting the challenges that arise when analyzing relational historical objects. After an introduction to the basics of network analysis, we will provide an overview of the ...
published: 12 Jul 2021 -
The Social Network Analysis — How David Fincher and Aaron Sorkin Craft a Perfect Fall Arc
In this The Social Network analysis, we get a lesson on how to write a character arc, specifically a Negative Change arc using the film written by Aaron Sorkin. The Social Network Script PDF Download ►► http://bit.ly/sn-scr Download FREE "Endings & Arcs" Worksheet ►► http://bit.ly/bs-end Watch the "Four Endings in Every Film" series ►► http://bit.ly/4-end K.M. Weiland's Creating Character Arcs ►► https://bit.ly/weilandarcs Chapters: 00:00 Intro: The Four Endings in Every Film 01:14 Overview: The Social Network 01:45 Mark's Want & the "Lie" 03:53 Mark's Need & the "Truth" 04:49 The "Fall Arc" Explained 06:26 Mark Establishes a New Want 09:49 The Midpoint & "Lie-Based Actions" 11:24 The "Lie" Replaces The "Truth" 15:30 Mark's Want vs. Need: Want Achieved 17:23 Get Your FREE Screenwriting ...
published: 10 May 2021 -
The Social Network | The Tragedy of the Obsessed Creator (Video Essay)
In this video I will be discussing the character of Mark from The Social Network, looking at his tragic arc as the protagonist of the film. The Social Network. 2010. [film] Directed by D. Fincher. United States: Columbia Pictures. Subscribe to The Grubb Cut here: https://www.youtube.com/channel/UCs_tP2JGAh4mSUb_dCVc1ww Insider video: https://www.youtube.com/watch?v=SExMi2E4fRI This video is intended for educational purposes #TheSocialNetwork #Facebook #VideoEssay #Filmmaking #Screenwriting
published: 14 Nov 2021 -
Social Network Analysis Overview
Find the complete course at the Si Network Platform → https://tinyurl.com/4n89knfk A brief overview to the new area of social network analysis that applies network theory to the analysis of social relations. Social network analysis is the application of network theory to the modeling and analysis of social systems. it combines both tools for analyzing social relations and theory for explaining the structures that emerge from the social interactions. Of course, the idea of studying societies as networks is not a new one but with the rise in computation and the emergence of a mass of new data sources, social network analysis is beginning to be applied to all type and scales of social systems from, international politics to local communities and everything in between. Traditionally when...
published: 08 Jul 2014 -
Social network analysis - Introduction to structural thinking: Dr Bernie Hogan, University of Oxford
Social networks are a means to understand social structures. This has become increasingly relevant with the shift towards mediated interaction. Now we can observe and often analyse links at a scale that far outpaces what was possible only decades ago. While this prompts new methodologies, the large-scale networks we can observe can still be informed by classis questions in social network analysis. In this class, we take a brisk tour through the classic ideas of social network analysis including preferential attachment, small worlds, homophily, the friendship paradox and clustering. Bernie demonstrates how these ideas are not only applicable to modern digital networks but have been updated with interesting insights fromdata on Twitter, Facebook and the World Wide Web itself. This is an in...
published: 13 Mar 2018 -
The Social Network — Sorkin, Structure, and Collaboration
Listen to our podcast episode further discussing The Social Network: https://apple.co/2m8lbEV Support LFTS: http://patreon.com/LFTScreenplay LFTS Merch: https://standard.tv/collections/lfts Twitter: http://twitter.com/michaeltuckerla Instagram: https://www.instagram.com/michaeltuckerla/ Facebook: https://www.facebook.com/lessonsfromthescreenplay/ Website: https://www.lessonsfromthescreenplay.com/ Sorkin's dialogue is famous for being rapid-fire and full of wit. In this video I look at the function of this style, how he uses non-linear structure to frame the story, and the critical role that collaboration played in the creation of The Social Network. Check out all the screenwriting books we use as resources: https://kit.co/LFTS/screenwriting-books The Social Network Screenplay by Aaron ...
published: 31 Jan 2017 -
Social Network Analysis
published: 27 May 2022 -
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending In second part guru ji tell about of stock market is only wait and passions. #psychologyofmarket #psychologyofmarketing #psychologyofmarketingandadvertising #psychologyofmarketcycle #psychologyofmarketingaudiobook #psychologyofstockmarket #psychologyofcolorsinmarketing #psychologyofdigitalmarketing #psychologyofstockmarkettrading #psychologyofsharemarketinhindi #psychologyofforexmarket #psychologyofcryptomarket #psychologyoffinancialmarkets #psychologyofstockmarketbooks #psychologyofnetworkmarketing #psychologyofstockmarkettelugu #psychologyofotcmarket #psychologyofmoneyinstockmarket #psychologyofmoneymarket #psychologyofmarketand YOUR QUERIES :::::::::::::: aniruddhacharya ji maharaj live ...
published: 07 Dec 2024 -
Social Network Analysis. Lecture1. Introduction to network analysis
published: 18 Sep 2020
developed with YouTube
3:46
What is Social Network Analysis?
- Order: Reorder
- Duration: 3:46
- Uploaded Date: 21 Aug 2015
- views: 166270
You use social networks every day, but how can we understand how they work to affect our decisions, our careers, our health, and our histories? The field of So...
You use social networks every day, but how can we understand how they work to affect our decisions, our careers, our health, and our histories? The field of Social Network Analysis is the dynamic and highly adaptable group of techniques that let us quantify and understand the complex structures and flows of relationships, thoughts, and things between people around the world. Look at your own social networks at these links:
Check your own personal Facebook social network with Touchgraph: http://www.touchgraph.com/facebook
Check your own personal LinkedIn social network with Socilab: http://socilab.com/
Check your own personal Twitter social network with Mentionmapp: http://mentionmapp.com/
Social Network Analysis can enrich the research of faculty and the studies of students—look for workshops run by the Duke Network Analysis Center and classes featuring graph theory, network theory, and social networks. Networks are everywhere—what will you discover with them?
https://wn.com/What_Is_Social_Network_Analysis
You use social networks every day, but how can we understand how they work to affect our decisions, our careers, our health, and our histories? The field of Social Network Analysis is the dynamic and highly adaptable group of techniques that let us quantify and understand the complex structures and flows of relationships, thoughts, and things between people around the world. Look at your own social networks at these links:
Check your own personal Facebook social network with Touchgraph: http://www.touchgraph.com/facebook
Check your own personal LinkedIn social network with Socilab: http://socilab.com/
Check your own personal Twitter social network with Mentionmapp: http://mentionmapp.com/
Social Network Analysis can enrich the research of faculty and the studies of students—look for workshops run by the Duke Network Analysis Center and classes featuring graph theory, network theory, and social networks. Networks are everywhere—what will you discover with them?
15:46
Introduction to Social Network Analysis [1/5]: Main Concepts
- Order: Reorder
- Duration: 15:46
- Uploaded Date: 12 Jul 2021
- views: 56965
Workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netz...
Workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
The script is available here: https://doi.org/10.5281/zenodo.5083036
Chinese subtitles provided by the Hong Kong Baptist University Library – Digital Scholarship & Scholarly Communication Services (https://digital.lib.hkbu.edu.hk/)
This workshop, intended for a beginner audience, proposes to review the main concepts of social network analysis (terminology, visual analysis, centrality measures, communities, etc.) while highlighting the challenges that arise when analyzing relational historical objects. After an introduction to the basics of network analysis, we will provide an overview of the application of these methods in the historical sciences: there is no single way to extract a network from historical sources and this has implications for the types of analysis that can be done, sometimes creating biases that we must be aware of. And what is generally the status of network analysis in such research, is it a heuristic tool or just an illustration?
We will then look at the question of „translating“ the concepts and results of network analysis into a historical research. For example: how should betweenness centrality be interpreted? should community detection be used? can I trust the clusters that appear in the visual analysis?
To conclude, we will propose some reflections on the main difficulties of historical network analysis, between temporality analysis and multilevel system modeling.
http://hnr2021.historicalnetworkresearch.org/?page_id=141#ws-2
https://wn.com/Introduction_To_Social_Network_Analysis_1_5_Main_Concepts
Workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
The script is available here: https://doi.org/10.5281/zenodo.5083036
Chinese subtitles provided by the Hong Kong Baptist University Library – Digital Scholarship & Scholarly Communication Services (https://digital.lib.hkbu.edu.hk/)
This workshop, intended for a beginner audience, proposes to review the main concepts of social network analysis (terminology, visual analysis, centrality measures, communities, etc.) while highlighting the challenges that arise when analyzing relational historical objects. After an introduction to the basics of network analysis, we will provide an overview of the application of these methods in the historical sciences: there is no single way to extract a network from historical sources and this has implications for the types of analysis that can be done, sometimes creating biases that we must be aware of. And what is generally the status of network analysis in such research, is it a heuristic tool or just an illustration?
We will then look at the question of „translating“ the concepts and results of network analysis into a historical research. For example: how should betweenness centrality be interpreted? should community detection be used? can I trust the clusters that appear in the visual analysis?
To conclude, we will propose some reflections on the main difficulties of historical network analysis, between temporality analysis and multilevel system modeling.
http://hnr2021.historicalnetworkresearch.org/?page_id=141#ws-2
- published: 12 Jul 2021
- views: 56965
18:10
The Social Network Analysis — How David Fincher and Aaron Sorkin Craft a Perfect Fall Arc
- Order: Reorder
- Duration: 18:10
- Uploaded Date: 10 May 2021
- views: 183629
In this The Social Network analysis, we get a lesson on how to write a character arc, specifically a Negative Change arc using the film written by Aaron Sorkin....
In this The Social Network analysis, we get a lesson on how to write a character arc, specifically a Negative Change arc using the film written by Aaron Sorkin.
The Social Network Script PDF Download ►► http://bit.ly/sn-scr
Download FREE "Endings & Arcs" Worksheet ►► http://bit.ly/bs-end
Watch the "Four Endings in Every Film" series ►► http://bit.ly/4-end
K.M. Weiland's Creating Character Arcs ►► https://bit.ly/weilandarcs
Chapters:
00:00 Intro: The Four Endings in Every Film
01:14 Overview: The Social Network
01:45 Mark's Want & the "Lie"
03:53 Mark's Need & the "Truth"
04:49 The "Fall Arc" Explained
06:26 Mark Establishes a New Want
09:49 The Midpoint & "Lie-Based Actions"
11:24 The "Lie" Replaces The "Truth"
15:30 Mark's Want vs. Need: Want Achieved
17:23 Get Your FREE Screenwriting Worksheet
Most main characters in a story change in some way but not all changes are positive. In Aaron Sorkin’s screenplay for The Social Network, we get an excellent example of a Negative Change Arc.
In our Social Network video essay, we’re going to work through Sorkin’s screenplay using concepts of how to write a character arc by author KM Weiland. In this Social Network analysis, we’ll find out the depths that characters like Mark Zuckerberg will go to achieve their wants vs needs.
In this last episode of our series on the 4 Endings to Every Film, we’ll look at what we call a Bitter-Sweet Ending. This is when the protagonist achieves what they want, but fails to get what they really need. In Zuckerberg’s case, his want is to do something substantial to get noticed by the elite final clubs at Harvard. His need, which is also established in the very first scene, is to become more selfless and develop his relationship skills.
Of the many screenwriting techniques necessary to know how to write a character arc, finding their “lie” is a top priority. Weiland describes this as “The Lie the Character Believes,” which is an assumption about themselves or the world around them this is false — but they believe wholeheartedly. In a Fall Arc, Weiland explains that the character’s want is often directly tied to the “lie” and that the decisions they make lead them further into the lie as they pursue their want.
In The Social Network, Mark’s lie is that he feels that by simply being accepted into the social elite groups at Harvard, it will “lead to a better life.” In his pursuit, he encounters Divya Narendra and the Winklevoss twins who contract Mark to help them build an exclusive social network for Harvard students. Instead of playing by the rules, Mark decides to steal their idea and turn it into something all his own — and, thus, Facebook is born. Along his path to success, Mark absolutely achieves everything he thought he wanted. But it came at a price — his close personal relationships. First, his girlfriend, Erica, and then, more importantly, his friendship and partnership with Eduardo. In this Negative Change Arc, Mark embraced the “lie,” rejected the “truth” and ended up alone — the youngest billionaire in the world without a single meaningful relationship in his life.
#FilmTheory #VideoEssay #Filmmaking
—
Songs used:
"Complication with Optimistic Outcome" - Trent Reznor & Atticus Ross
"Haute Couture" - Nu Alkemi$t
"Club Foot Clavipes" - Isaac Joel
"A Familiar Taste" - Trent Reznor & Atticus Ross
"Hand Covers Bruise (Reprise)" - Trent Reznor & Atticus Ross
"Painted Sun in Abstract" - Trent Reznor & Atticus Ross
"Ball and Biscuit" - The White Stripes
"Hand Covers Bruise" - Trent Reznor & Atticus Ross
"In Motion" - Trent Reznor & Atticus Ross
"Almost Home" - Trent Reznor & Atticus Ross
"14 Ghosts II" - Nine Inch Nails
"Pieces Form the Whole" - Trent Reznor & Atticus Ross
"Penetration" - Trent Reznor & Atticus Ross
"Baby You're a Rich Man (Instrumental Cover)" - The Beatles
Music by Artlist ► https://utm.io/umJx
Music by Artgrid ► https://utm.io/umJy
Music by Soundstripe ► http://bit.ly/2IXwomF
Music by Music Vine ► http://bit.ly/2IUE0pT
Music by MusicBed ► http://bit.ly/2Fnz9Zq
—
SUBSCRIBE to StudioBinder’s YouTube channel! ►► http://bit.ly/2hksYO0
Looking for a project management platform for your filmmaking? StudioBinder is an intuitive project management solution for video creatives; create shooting schedules, breakdowns, production calendars, shot lists, storyboards, call sheets and more.
Try StudioBinder for FREE today: https://studiobinder.com/pricing
— Join us on Social Media! —
Instagram ►► https://www.instagram.com/studiobinder
Facebook ►► https://www.facebook.com/studiobinderapp
Twitter ►► https://www.twitter.com/studiobinder
#film-theory, #video-essay, #filmmaker
https://wn.com/The_Social_Network_Analysis_—_How_David_Fincher_And_Aaron_Sorkin_Craft_A_Perfect_Fall_Arc
In this The Social Network analysis, we get a lesson on how to write a character arc, specifically a Negative Change arc using the film written by Aaron Sorkin.
The Social Network Script PDF Download ►► http://bit.ly/sn-scr
Download FREE "Endings & Arcs" Worksheet ►► http://bit.ly/bs-end
Watch the "Four Endings in Every Film" series ►► http://bit.ly/4-end
K.M. Weiland's Creating Character Arcs ►► https://bit.ly/weilandarcs
Chapters:
00:00 Intro: The Four Endings in Every Film
01:14 Overview: The Social Network
01:45 Mark's Want & the "Lie"
03:53 Mark's Need & the "Truth"
04:49 The "Fall Arc" Explained
06:26 Mark Establishes a New Want
09:49 The Midpoint & "Lie-Based Actions"
11:24 The "Lie" Replaces The "Truth"
15:30 Mark's Want vs. Need: Want Achieved
17:23 Get Your FREE Screenwriting Worksheet
Most main characters in a story change in some way but not all changes are positive. In Aaron Sorkin’s screenplay for The Social Network, we get an excellent example of a Negative Change Arc.
In our Social Network video essay, we’re going to work through Sorkin’s screenplay using concepts of how to write a character arc by author KM Weiland. In this Social Network analysis, we’ll find out the depths that characters like Mark Zuckerberg will go to achieve their wants vs needs.
In this last episode of our series on the 4 Endings to Every Film, we’ll look at what we call a Bitter-Sweet Ending. This is when the protagonist achieves what they want, but fails to get what they really need. In Zuckerberg’s case, his want is to do something substantial to get noticed by the elite final clubs at Harvard. His need, which is also established in the very first scene, is to become more selfless and develop his relationship skills.
Of the many screenwriting techniques necessary to know how to write a character arc, finding their “lie” is a top priority. Weiland describes this as “The Lie the Character Believes,” which is an assumption about themselves or the world around them this is false — but they believe wholeheartedly. In a Fall Arc, Weiland explains that the character’s want is often directly tied to the “lie” and that the decisions they make lead them further into the lie as they pursue their want.
In The Social Network, Mark’s lie is that he feels that by simply being accepted into the social elite groups at Harvard, it will “lead to a better life.” In his pursuit, he encounters Divya Narendra and the Winklevoss twins who contract Mark to help them build an exclusive social network for Harvard students. Instead of playing by the rules, Mark decides to steal their idea and turn it into something all his own — and, thus, Facebook is born. Along his path to success, Mark absolutely achieves everything he thought he wanted. But it came at a price — his close personal relationships. First, his girlfriend, Erica, and then, more importantly, his friendship and partnership with Eduardo. In this Negative Change Arc, Mark embraced the “lie,” rejected the “truth” and ended up alone — the youngest billionaire in the world without a single meaningful relationship in his life.
#FilmTheory #VideoEssay #Filmmaking
—
Songs used:
"Complication with Optimistic Outcome" - Trent Reznor & Atticus Ross
"Haute Couture" - Nu Alkemi$t
"Club Foot Clavipes" - Isaac Joel
"A Familiar Taste" - Trent Reznor & Atticus Ross
"Hand Covers Bruise (Reprise)" - Trent Reznor & Atticus Ross
"Painted Sun in Abstract" - Trent Reznor & Atticus Ross
"Ball and Biscuit" - The White Stripes
"Hand Covers Bruise" - Trent Reznor & Atticus Ross
"In Motion" - Trent Reznor & Atticus Ross
"Almost Home" - Trent Reznor & Atticus Ross
"14 Ghosts II" - Nine Inch Nails
"Pieces Form the Whole" - Trent Reznor & Atticus Ross
"Penetration" - Trent Reznor & Atticus Ross
"Baby You're a Rich Man (Instrumental Cover)" - The Beatles
Music by Artlist ► https://utm.io/umJx
Music by Artgrid ► https://utm.io/umJy
Music by Soundstripe ► http://bit.ly/2IXwomF
Music by Music Vine ► http://bit.ly/2IUE0pT
Music by MusicBed ► http://bit.ly/2Fnz9Zq
—
SUBSCRIBE to StudioBinder’s YouTube channel! ►► http://bit.ly/2hksYO0
Looking for a project management platform for your filmmaking? StudioBinder is an intuitive project management solution for video creatives; create shooting schedules, breakdowns, production calendars, shot lists, storyboards, call sheets and more.
Try StudioBinder for FREE today: https://studiobinder.com/pricing
— Join us on Social Media! —
Instagram ►► https://www.instagram.com/studiobinder
Facebook ►► https://www.facebook.com/studiobinderapp
Twitter ►► https://www.twitter.com/studiobinder
#film-theory, #video-essay, #filmmaker
- published: 10 May 2021
- views: 183629
11:27
The Social Network | The Tragedy of the Obsessed Creator (Video Essay)
- Order: Reorder
- Duration: 11:27
- Uploaded Date: 14 Nov 2021
- views: 16875
In this video I will be discussing the character of Mark from The Social Network, looking at his tragic arc as the protagonist of the film.
The Social Network....
In this video I will be discussing the character of Mark from The Social Network, looking at his tragic arc as the protagonist of the film.
The Social Network. 2010. [film] Directed by D. Fincher. United States: Columbia Pictures.
Subscribe to The Grubb Cut here:
https://www.youtube.com/channel/UCs_tP2JGAh4mSUb_dCVc1ww
Insider video: https://www.youtube.com/watch?v=SExMi2E4fRI
This video is intended for educational purposes
#TheSocialNetwork #Facebook #VideoEssay #Filmmaking #Screenwriting
https://wn.com/The_Social_Network_|_The_Tragedy_Of_The_Obsessed_Creator_(Video_Essay)
In this video I will be discussing the character of Mark from The Social Network, looking at his tragic arc as the protagonist of the film.
The Social Network. 2010. [film] Directed by D. Fincher. United States: Columbia Pictures.
Subscribe to The Grubb Cut here:
https://www.youtube.com/channel/UCs_tP2JGAh4mSUb_dCVc1ww
Insider video: https://www.youtube.com/watch?v=SExMi2E4fRI
This video is intended for educational purposes
#TheSocialNetwork #Facebook #VideoEssay #Filmmaking #Screenwriting
- published: 14 Nov 2021
- views: 16875
4:45
Social Network Analysis Overview
- Order: Reorder
- Duration: 4:45
- Uploaded Date: 08 Jul 2014
- views: 82835
Find the complete course at the Si Network Platform → https://tinyurl.com/4n89knfk
A brief overview to the new area of social network analysis that applies ne...
Find the complete course at the Si Network Platform → https://tinyurl.com/4n89knfk
A brief overview to the new area of social network analysis that applies network theory to the analysis of social relations.
Social network analysis is the application of network theory to the modeling and analysis of social systems. it combines both tools for analyzing social relations and theory for explaining the structures that emerge from the social interactions.
Of course, the idea of studying societies as networks is not a new one but with the rise in computation and the emergence of a mass of new data sources, social network analysis is beginning to be applied to all type and scales of social systems from, international politics to local communities and everything in between.
Traditionally when studying societies we think of them as composed of various types of individuals and organizations, we then proceed to analysis the properties to these social entities such as their age, occupation or population, and them ascribe quantitative value to them.
This allows social science to use the formal mathematical language of statistical analyst to compare the values of these properties and create categories such as low in come house holds or generation x, we then search for quasi cause and effect relations that govern these values.
This component-based analysis is a powerful method for describing social systems. Unfortunately though is fails to capture the most important feature of social reality that is the relations between individuals, statistical analysis present a picture of individuals and groups isolates from the nexus of social relations that given them context.
Thus we can only get so far by studying the individual because when individuals interact and organize, the results can be greater than the simple sum of its parts, it is the relations between individuals that create the emergent property of social institutions and thus to understand these institutions we need to understand the networks of social relations that constitute them.
Ever since the emergence of human beans we have been building social networks, we live our lives embed in networks of relations, the shape of these structures and where we lie in them all effect our identity and perception of the world.
A social network is a system made up of a set of social actors such as individuals or organizations and a set of ties between these actors that might be relations of friendship, work colleagues or family. Social network science then analyze empirical data and develops theories to explaining the patterns observed in these networks
In so doing we can begin to ask questions about the degree of connectivity within a network, its over all structure, how fast something will diffuse and propagate through it or the Influence of a given node within the network. lets take some examples of this
Social network analysis has been used to study the structure of influence within corporations, where traditionally we see organization of this kind as hierarchies, by modeling the actual flow of information and communication as a network we get a very different picture, where seemingly irrelevant employees within the hierarchy can in fact have significant influence within the network.
Researcher also study innovation as a process of diffusion of new ideas across networks, where the oval structure to the network, its degree of connectivity, centralization or decentralization are a defining feature in the way that innovation spreads or fails to spread.
Network dynamics, that is how networks evolve overtime is another important area of research, for example within Law enforcement agencies social network analysis is used to study the change in structure of terrorists groups to identify changing relations through which they are created, strengthened and dissolved?
Social network analysis has also been used to study patterns of segregation and clustering within international politics and culture, by mapping out the beliefs and values of countries and cultures as networks we can identify where opinions and beliefs overlap or conflict.
Social network analysis is a powerful new method we now have that allows us to convert often large and dense data sets into engaging visualization, that can quickly and effectively communicate the underlining dynamics within the system.
By combine new discoveries in the mathematics of network theory, with new data sources and our sociological understanding, social network analysis is offering huge potential for a deeper, richer and more accurate understanding, of the complex social systems that make up our world.
Learn about the Systems Innovation Network on our social media:
→ Twitter: http://bit.ly/2JuNmXX
→ LinkedIn: http://bit.ly/2YCP2U6
https://wn.com/Social_Network_Analysis_Overview
Find the complete course at the Si Network Platform → https://tinyurl.com/4n89knfk
A brief overview to the new area of social network analysis that applies network theory to the analysis of social relations.
Social network analysis is the application of network theory to the modeling and analysis of social systems. it combines both tools for analyzing social relations and theory for explaining the structures that emerge from the social interactions.
Of course, the idea of studying societies as networks is not a new one but with the rise in computation and the emergence of a mass of new data sources, social network analysis is beginning to be applied to all type and scales of social systems from, international politics to local communities and everything in between.
Traditionally when studying societies we think of them as composed of various types of individuals and organizations, we then proceed to analysis the properties to these social entities such as their age, occupation or population, and them ascribe quantitative value to them.
This allows social science to use the formal mathematical language of statistical analyst to compare the values of these properties and create categories such as low in come house holds or generation x, we then search for quasi cause and effect relations that govern these values.
This component-based analysis is a powerful method for describing social systems. Unfortunately though is fails to capture the most important feature of social reality that is the relations between individuals, statistical analysis present a picture of individuals and groups isolates from the nexus of social relations that given them context.
Thus we can only get so far by studying the individual because when individuals interact and organize, the results can be greater than the simple sum of its parts, it is the relations between individuals that create the emergent property of social institutions and thus to understand these institutions we need to understand the networks of social relations that constitute them.
Ever since the emergence of human beans we have been building social networks, we live our lives embed in networks of relations, the shape of these structures and where we lie in them all effect our identity and perception of the world.
A social network is a system made up of a set of social actors such as individuals or organizations and a set of ties between these actors that might be relations of friendship, work colleagues or family. Social network science then analyze empirical data and develops theories to explaining the patterns observed in these networks
In so doing we can begin to ask questions about the degree of connectivity within a network, its over all structure, how fast something will diffuse and propagate through it or the Influence of a given node within the network. lets take some examples of this
Social network analysis has been used to study the structure of influence within corporations, where traditionally we see organization of this kind as hierarchies, by modeling the actual flow of information and communication as a network we get a very different picture, where seemingly irrelevant employees within the hierarchy can in fact have significant influence within the network.
Researcher also study innovation as a process of diffusion of new ideas across networks, where the oval structure to the network, its degree of connectivity, centralization or decentralization are a defining feature in the way that innovation spreads or fails to spread.
Network dynamics, that is how networks evolve overtime is another important area of research, for example within Law enforcement agencies social network analysis is used to study the change in structure of terrorists groups to identify changing relations through which they are created, strengthened and dissolved?
Social network analysis has also been used to study patterns of segregation and clustering within international politics and culture, by mapping out the beliefs and values of countries and cultures as networks we can identify where opinions and beliefs overlap or conflict.
Social network analysis is a powerful new method we now have that allows us to convert often large and dense data sets into engaging visualization, that can quickly and effectively communicate the underlining dynamics within the system.
By combine new discoveries in the mathematics of network theory, with new data sources and our sociological understanding, social network analysis is offering huge potential for a deeper, richer and more accurate understanding, of the complex social systems that make up our world.
Learn about the Systems Innovation Network on our social media:
→ Twitter: http://bit.ly/2JuNmXX
→ LinkedIn: http://bit.ly/2YCP2U6
- published: 08 Jul 2014
- views: 82835
2:23:16
Social network analysis - Introduction to structural thinking: Dr Bernie Hogan, University of Oxford
- Order: Reorder
- Duration: 2:23:16
- Uploaded Date: 13 Mar 2018
- views: 131942
Social networks are a means to understand social structures. This has become increasingly relevant with the shift towards mediated interaction. Now we can obser...
Social networks are a means to understand social structures. This has become increasingly relevant with the shift towards mediated interaction. Now we can observe and often analyse links at a scale that far outpaces what was possible only decades ago. While this prompts new methodologies, the large-scale networks we can observe can still be informed by classis questions in social network analysis.
In this class, we take a brisk tour through the classic ideas of social network analysis including preferential attachment, small worlds, homophily, the friendship paradox and clustering. Bernie demonstrates how these ideas are not only applicable to modern digital networks but have been updated with interesting insights fromdata on Twitter, Facebook and the World Wide Web itself.
This is an introductory class, an advanced class session is planned for 2018.
Readings:
Hidalgo, C.A. (2016). Disconnected, fragmented, or united? A trans-disciplinary review of network science. Applied Network Science, 1(6), 1-19 . http://doi.org/10.1007/s41109-016-0010-3
Hogan, B. (2017). Online Social Networks: Concepts for Data Collection and Analysis. In Fielding, N.G., Lee, R., & Blank, G. (eds). The Sage Handbook of Online Research Methods. Thousand Oaks, Ca: Sage Publications. Pp. 241-258 Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3047869
Harrington, H.A., Beguerisse-diaz, M., Rombach, M.P., Keating, L. M., & Porter, M.A. (2013). Commentary: Teach network science to teenagers. Network Science, 1(2), 226-247. http://doi.org/10.1017/nws.2013.11
#datascienceclasses
https://wn.com/Social_Network_Analysis_Introduction_To_Structural_Thinking_Dr_Bernie_Hogan,_University_Of_Oxford
Social networks are a means to understand social structures. This has become increasingly relevant with the shift towards mediated interaction. Now we can observe and often analyse links at a scale that far outpaces what was possible only decades ago. While this prompts new methodologies, the large-scale networks we can observe can still be informed by classis questions in social network analysis.
In this class, we take a brisk tour through the classic ideas of social network analysis including preferential attachment, small worlds, homophily, the friendship paradox and clustering. Bernie demonstrates how these ideas are not only applicable to modern digital networks but have been updated with interesting insights fromdata on Twitter, Facebook and the World Wide Web itself.
This is an introductory class, an advanced class session is planned for 2018.
Readings:
Hidalgo, C.A. (2016). Disconnected, fragmented, or united? A trans-disciplinary review of network science. Applied Network Science, 1(6), 1-19 . http://doi.org/10.1007/s41109-016-0010-3
Hogan, B. (2017). Online Social Networks: Concepts for Data Collection and Analysis. In Fielding, N.G., Lee, R., & Blank, G. (eds). The Sage Handbook of Online Research Methods. Thousand Oaks, Ca: Sage Publications. Pp. 241-258 Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3047869
Harrington, H.A., Beguerisse-diaz, M., Rombach, M.P., Keating, L. M., & Porter, M.A. (2013). Commentary: Teach network science to teenagers. Network Science, 1(2), 226-247. http://doi.org/10.1017/nws.2013.11
#datascienceclasses
- published: 13 Mar 2018
- views: 131942
13:24
The Social Network — Sorkin, Structure, and Collaboration
- Order: Reorder
- Duration: 13:24
- Uploaded Date: 31 Jan 2017
- views: 1796730
Listen to our podcast episode further discussing The Social Network: https://apple.co/2m8lbEV
Support LFTS: http://patreon.com/LFTScreenplay
LFTS Merch: https:...
Listen to our podcast episode further discussing The Social Network: https://apple.co/2m8lbEV
Support LFTS: http://patreon.com/LFTScreenplay
LFTS Merch: https://standard.tv/collections/lfts
Twitter: http://twitter.com/michaeltuckerla
Instagram: https://www.instagram.com/michaeltuckerla/
Facebook: https://www.facebook.com/lessonsfromthescreenplay/
Website: https://www.lessonsfromthescreenplay.com/
Sorkin's dialogue is famous for being rapid-fire and full of wit. In this video I look at the function of this style, how he uses non-linear structure to frame the story, and the critical role that collaboration played in the creation of The Social Network.
Check out all the screenwriting books we use as resources: https://kit.co/LFTS/screenwriting-books
The Social Network
Screenplay by Aaron Sorkin
Directed by David Fincher
Starring Jesse Eisenberg, Andrew Garfield, Justin Timberlake, Armie Hammer, Rooney mara.
DP/30 Sorkin Interview: https://www.youtube.com/watch?v=Ya3jOt9K1Qk
Watch the behind-the-scenes documentary: http://www.imdb.com/video/imdb/vi1594268185/
Translate this video into your language:
http://www.youtube.com/timedtext_video?ref=share&v=8IAGH6k17nw
Thanks to Diego Rojas for composing original music for this video!
Check him out: https://soundcloud.com/diegorojasguitar
Marxist Arrow by Twin Musicom is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)
Artist: http://www.twinmusicom.org/
https://wn.com/The_Social_Network_—_Sorkin,_Structure,_And_Collaboration
Listen to our podcast episode further discussing The Social Network: https://apple.co/2m8lbEV
Support LFTS: http://patreon.com/LFTScreenplay
LFTS Merch: https://standard.tv/collections/lfts
Twitter: http://twitter.com/michaeltuckerla
Instagram: https://www.instagram.com/michaeltuckerla/
Facebook: https://www.facebook.com/lessonsfromthescreenplay/
Website: https://www.lessonsfromthescreenplay.com/
Sorkin's dialogue is famous for being rapid-fire and full of wit. In this video I look at the function of this style, how he uses non-linear structure to frame the story, and the critical role that collaboration played in the creation of The Social Network.
Check out all the screenwriting books we use as resources: https://kit.co/LFTS/screenwriting-books
The Social Network
Screenplay by Aaron Sorkin
Directed by David Fincher
Starring Jesse Eisenberg, Andrew Garfield, Justin Timberlake, Armie Hammer, Rooney mara.
DP/30 Sorkin Interview: https://www.youtube.com/watch?v=Ya3jOt9K1Qk
Watch the behind-the-scenes documentary: http://www.imdb.com/video/imdb/vi1594268185/
Translate this video into your language:
http://www.youtube.com/timedtext_video?ref=share&v=8IAGH6k17nw
Thanks to Diego Rojas for composing original music for this video!
Check him out: https://soundcloud.com/diegorojasguitar
Marxist Arrow by Twin Musicom is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)
Artist: http://www.twinmusicom.org/
- published: 31 Jan 2017
- views: 1796730
6:16
Social Network Analysis
- Order: Reorder
- Duration: 6:16
- Uploaded Date: 27 May 2022
- views: 23271
- published: 27 May 2022
- views: 23271
0:59
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending
- Order: Reorder
- Duration: 0:59
- Uploaded Date: 07 Dec 2024
- views: 522
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending
In second part guru ji tell about of stock market is only wai...
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending
In second part guru ji tell about of stock market is only wait and passions.
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#psychology
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https://wn.com/😮Must_Watch_For_Every_Trader_Part_2_Anirudhacharyaji_Stockmarket_Viralshorts_Shorts_Trending
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending
In second part guru ji tell about of stock market is only wait and passions.
#psychologyofmarket #psychologyofmarketing #psychologyofmarketingandadvertising #psychologyofmarketcycle #psychologyofmarketingaudiobook #psychologyofstockmarket #psychologyofcolorsinmarketing #psychologyofdigitalmarketing #psychologyofstockmarkettrading #psychologyofsharemarketinhindi #psychologyofforexmarket #psychologyofcryptomarket #psychologyoffinancialmarkets #psychologyofstockmarketbooks #psychologyofnetworkmarketing #psychologyofstockmarkettelugu #psychologyofotcmarket #psychologyofmoneyinstockmarket #psychologyofmoneymarket #psychologyofmarketand
YOUR QUERIES ::::::::::::::
aniruddhacharya ji maharaj live
aniruddhacharya
aniruddhacharya ji ke bhajan
aniruddhacharya ji
aniruddhacharya ji ki katha
aniruddhacharya funny video
aniruddhacharya ji maharaj
aniruddhacharya ki katha
aniruddhacharya bigg boss
aniruddhacharya bhajan
aniruddhacharya interview
aniruddhacharya maharaj
aniruddhacharya ji maharaj bhajan
अनिरुद्धाचार्य जी महाराज
psychology of trading
psychology of trading audiobook
psychology of trading in hindi
psychology of trading book
psychology of trading mark douglas
psychology of trading forex
psychology of trading malayalam
psychology of trading pushkar raj thakur
psychology of trading ghanshyam
psychology of trading in telugu
psychology of trading book in hindi
psychology of trading tamil
psychology of trading ghanshyam tech
psychology of trading full course
psychology of market,
psychology of marketing,
psychology of marketing and advertising,
psychology of market cycle,
psychology of marketing audiobook,
how to understand psychology of market,
the psychology of market live,
rory sutherland psychology of marketing,
psychology of the guest and future of direct sale marketing,
psychology of share market in hindi,
psychology of colors in marketing,
psychology of forex market,
psychology of buyers and sellers in stock market,
psychology of indian stock market,
psychology of stock market books,
psychology of money in stock market,
psychology of a market cycle,
psychology of the market,
psychology of traders in stock market books,
psychology of human behavior in stock market,
psychology of crypto market,
psychology of digital marketing,
psychology of email marketing,
the psychology of marketing,
the psychology of market cycles,
the psychology of digital marketing. rory sutherland ogilvy,
the psychology of stock market,
psychology of financial markets,
psychology of markets,
psychology in market,
psychology in market movement,
psychology of traders in stock market,
j psychology,
jp morgan manipulation,
jp morgan analysis,
psychology of social media marketing,
psychology of money market,
market meltdown. master your psychology part 1 of 2,
psychology of network marketing,
market psychology power of stocks,
psychology of buyers and sellers,
marketing psychology and consumer behaviour,
role of market research,
reorg research,
what is market psychology,
psychology of stock market,
psychology of stock market telugu,
psychology of stock market trading,
psychology marketing tricks,
psychology of traders in stock market in hindi,
analyzing the market environment,
market behavior analysis,
what is marketing psychology,
what is marketing structure,
future of market research,
3cs of marketing,
psychological pricing in marketing,
#psychology
#stockmarket
#guruji
#psychologyofmarket
#anirudhacharyaji
#investing
#trading
#facts
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#youtubeshorts
#explore
#foryou
- published: 07 Dec 2024
- views: 522
1:03:21
Social Network Analysis. Lecture1. Introduction to network analysis
- Order: Reorder
- Duration: 1:03:21
- Uploaded Date: 18 Sep 2020
- views: 7026
- published: 18 Sep 2020
- views: 7026
3:46
What is Social Network Analysis?
You use social networks every day, but how can we understand how they work to affect our d...
published: 21 Aug 2015
What is Social Network Analysis?
What is Social Network Analysis?
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- published: 21 Aug 2015
- views: 166270
You use social networks every day, but how can we understand how they work to affect our decisions, our careers, our health, and our histories? The field of Social Network Analysis is the dynamic and highly adaptable group of techniques that let us quantify and understand the complex structures and flows of relationships, thoughts, and things between people around the world. Look at your own social networks at these links:
Check your own personal Facebook social network with Touchgraph: http://www.touchgraph.com/facebook
Check your own personal LinkedIn social network with Socilab: http://socilab.com/
Check your own personal Twitter social network with Mentionmapp: http://mentionmapp.com/
Social Network Analysis can enrich the research of faculty and the studies of students—look for workshops run by the Duke Network Analysis Center and classes featuring graph theory, network theory, and social networks. Networks are everywhere—what will you discover with them?
15:46
Introduction to Social Network Analysis [1/5]: Main Concepts
Workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Co...
published: 12 Jul 2021
Introduction to Social Network Analysis [1/5]: Main Concepts
Introduction to Social Network Analysis [1/5]: Main Concepts
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- published: 12 Jul 2021
- views: 56965
Workshop by Martin Grandjean (Université de Lausanne) at the Conference HNR+ResHist2021 Conference "Historical Networks - Réseaux Historiques - Historische Netzwerke co-organised by HNR and ResHist.
The script is available here: https://doi.org/10.5281/zenodo.5083036
Chinese subtitles provided by the Hong Kong Baptist University Library – Digital Scholarship & Scholarly Communication Services (https://digital.lib.hkbu.edu.hk/)
This workshop, intended for a beginner audience, proposes to review the main concepts of social network analysis (terminology, visual analysis, centrality measures, communities, etc.) while highlighting the challenges that arise when analyzing relational historical objects. After an introduction to the basics of network analysis, we will provide an overview of the application of these methods in the historical sciences: there is no single way to extract a network from historical sources and this has implications for the types of analysis that can be done, sometimes creating biases that we must be aware of. And what is generally the status of network analysis in such research, is it a heuristic tool or just an illustration?
We will then look at the question of „translating“ the concepts and results of network analysis into a historical research. For example: how should betweenness centrality be interpreted? should community detection be used? can I trust the clusters that appear in the visual analysis?
To conclude, we will propose some reflections on the main difficulties of historical network analysis, between temporality analysis and multilevel system modeling.
http://hnr2021.historicalnetworkresearch.org/?page_id=141#ws-2
18:10
The Social Network Analysis — How David Fincher and Aaron Sorkin Craft a Perfect Fall Arc
In this The Social Network analysis, we get a lesson on how to write a character arc, spec...
published: 10 May 2021
The Social Network Analysis — How David Fincher and Aaron Sorkin Craft a Perfect Fall Arc
The Social Network Analysis — How David Fincher and Aaron Sorkin Craft a Perfect Fall Arc
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- published: 10 May 2021
- views: 183629
In this The Social Network analysis, we get a lesson on how to write a character arc, specifically a Negative Change arc using the film written by Aaron Sorkin.
The Social Network Script PDF Download ►► http://bit.ly/sn-scr
Download FREE "Endings & Arcs" Worksheet ►► http://bit.ly/bs-end
Watch the "Four Endings in Every Film" series ►► http://bit.ly/4-end
K.M. Weiland's Creating Character Arcs ►► https://bit.ly/weilandarcs
Chapters:
00:00 Intro: The Four Endings in Every Film
01:14 Overview: The Social Network
01:45 Mark's Want & the "Lie"
03:53 Mark's Need & the "Truth"
04:49 The "Fall Arc" Explained
06:26 Mark Establishes a New Want
09:49 The Midpoint & "Lie-Based Actions"
11:24 The "Lie" Replaces The "Truth"
15:30 Mark's Want vs. Need: Want Achieved
17:23 Get Your FREE Screenwriting Worksheet
Most main characters in a story change in some way but not all changes are positive. In Aaron Sorkin’s screenplay for The Social Network, we get an excellent example of a Negative Change Arc.
In our Social Network video essay, we’re going to work through Sorkin’s screenplay using concepts of how to write a character arc by author KM Weiland. In this Social Network analysis, we’ll find out the depths that characters like Mark Zuckerberg will go to achieve their wants vs needs.
In this last episode of our series on the 4 Endings to Every Film, we’ll look at what we call a Bitter-Sweet Ending. This is when the protagonist achieves what they want, but fails to get what they really need. In Zuckerberg’s case, his want is to do something substantial to get noticed by the elite final clubs at Harvard. His need, which is also established in the very first scene, is to become more selfless and develop his relationship skills.
Of the many screenwriting techniques necessary to know how to write a character arc, finding their “lie” is a top priority. Weiland describes this as “The Lie the Character Believes,” which is an assumption about themselves or the world around them this is false — but they believe wholeheartedly. In a Fall Arc, Weiland explains that the character’s want is often directly tied to the “lie” and that the decisions they make lead them further into the lie as they pursue their want.
In The Social Network, Mark’s lie is that he feels that by simply being accepted into the social elite groups at Harvard, it will “lead to a better life.” In his pursuit, he encounters Divya Narendra and the Winklevoss twins who contract Mark to help them build an exclusive social network for Harvard students. Instead of playing by the rules, Mark decides to steal their idea and turn it into something all his own — and, thus, Facebook is born. Along his path to success, Mark absolutely achieves everything he thought he wanted. But it came at a price — his close personal relationships. First, his girlfriend, Erica, and then, more importantly, his friendship and partnership with Eduardo. In this Negative Change Arc, Mark embraced the “lie,” rejected the “truth” and ended up alone — the youngest billionaire in the world without a single meaningful relationship in his life.
#FilmTheory #VideoEssay #Filmmaking
—
Songs used:
"Complication with Optimistic Outcome" - Trent Reznor & Atticus Ross
"Haute Couture" - Nu Alkemi$t
"Club Foot Clavipes" - Isaac Joel
"A Familiar Taste" - Trent Reznor & Atticus Ross
"Hand Covers Bruise (Reprise)" - Trent Reznor & Atticus Ross
"Painted Sun in Abstract" - Trent Reznor & Atticus Ross
"Ball and Biscuit" - The White Stripes
"Hand Covers Bruise" - Trent Reznor & Atticus Ross
"In Motion" - Trent Reznor & Atticus Ross
"Almost Home" - Trent Reznor & Atticus Ross
"14 Ghosts II" - Nine Inch Nails
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11:27
The Social Network | The Tragedy of the Obsessed Creator (Video Essay)
In this video I will be discussing the character of Mark from The Social Network, looking ...
published: 14 Nov 2021
The Social Network | The Tragedy of the Obsessed Creator (Video Essay)
The Social Network | The Tragedy of the Obsessed Creator (Video Essay)
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- published: 14 Nov 2021
- views: 16875
In this video I will be discussing the character of Mark from The Social Network, looking at his tragic arc as the protagonist of the film.
The Social Network. 2010. [film] Directed by D. Fincher. United States: Columbia Pictures.
Subscribe to The Grubb Cut here:
https://www.youtube.com/channel/UCs_tP2JGAh4mSUb_dCVc1ww
Insider video: https://www.youtube.com/watch?v=SExMi2E4fRI
This video is intended for educational purposes
#TheSocialNetwork #Facebook #VideoEssay #Filmmaking #Screenwriting
4:45
Social Network Analysis Overview
Find the complete course at the Si Network Platform → https://tinyurl.com/4n89knfk
A bri...
published: 08 Jul 2014
Social Network Analysis Overview
Social Network Analysis Overview
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- published: 08 Jul 2014
- views: 82835
Find the complete course at the Si Network Platform → https://tinyurl.com/4n89knfk
A brief overview to the new area of social network analysis that applies network theory to the analysis of social relations.
Social network analysis is the application of network theory to the modeling and analysis of social systems. it combines both tools for analyzing social relations and theory for explaining the structures that emerge from the social interactions.
Of course, the idea of studying societies as networks is not a new one but with the rise in computation and the emergence of a mass of new data sources, social network analysis is beginning to be applied to all type and scales of social systems from, international politics to local communities and everything in between.
Traditionally when studying societies we think of them as composed of various types of individuals and organizations, we then proceed to analysis the properties to these social entities such as their age, occupation or population, and them ascribe quantitative value to them.
This allows social science to use the formal mathematical language of statistical analyst to compare the values of these properties and create categories such as low in come house holds or generation x, we then search for quasi cause and effect relations that govern these values.
This component-based analysis is a powerful method for describing social systems. Unfortunately though is fails to capture the most important feature of social reality that is the relations between individuals, statistical analysis present a picture of individuals and groups isolates from the nexus of social relations that given them context.
Thus we can only get so far by studying the individual because when individuals interact and organize, the results can be greater than the simple sum of its parts, it is the relations between individuals that create the emergent property of social institutions and thus to understand these institutions we need to understand the networks of social relations that constitute them.
Ever since the emergence of human beans we have been building social networks, we live our lives embed in networks of relations, the shape of these structures and where we lie in them all effect our identity and perception of the world.
A social network is a system made up of a set of social actors such as individuals or organizations and a set of ties between these actors that might be relations of friendship, work colleagues or family. Social network science then analyze empirical data and develops theories to explaining the patterns observed in these networks
In so doing we can begin to ask questions about the degree of connectivity within a network, its over all structure, how fast something will diffuse and propagate through it or the Influence of a given node within the network. lets take some examples of this
Social network analysis has been used to study the structure of influence within corporations, where traditionally we see organization of this kind as hierarchies, by modeling the actual flow of information and communication as a network we get a very different picture, where seemingly irrelevant employees within the hierarchy can in fact have significant influence within the network.
Researcher also study innovation as a process of diffusion of new ideas across networks, where the oval structure to the network, its degree of connectivity, centralization or decentralization are a defining feature in the way that innovation spreads or fails to spread.
Network dynamics, that is how networks evolve overtime is another important area of research, for example within Law enforcement agencies social network analysis is used to study the change in structure of terrorists groups to identify changing relations through which they are created, strengthened and dissolved?
Social network analysis has also been used to study patterns of segregation and clustering within international politics and culture, by mapping out the beliefs and values of countries and cultures as networks we can identify where opinions and beliefs overlap or conflict.
Social network analysis is a powerful new method we now have that allows us to convert often large and dense data sets into engaging visualization, that can quickly and effectively communicate the underlining dynamics within the system.
By combine new discoveries in the mathematics of network theory, with new data sources and our sociological understanding, social network analysis is offering huge potential for a deeper, richer and more accurate understanding, of the complex social systems that make up our world.
Learn about the Systems Innovation Network on our social media:
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2:23:16
Social network analysis - Introduction to structural thinking: Dr Bernie Hogan, University of Oxford
Social networks are a means to understand social structures. This has become increasingly ...
published: 13 Mar 2018
Social network analysis - Introduction to structural thinking: Dr Bernie Hogan, University of Oxford
Social network analysis - Introduction to structural thinking: Dr Bernie Hogan, University of Oxford
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- published: 13 Mar 2018
- views: 131942
Social networks are a means to understand social structures. This has become increasingly relevant with the shift towards mediated interaction. Now we can observe and often analyse links at a scale that far outpaces what was possible only decades ago. While this prompts new methodologies, the large-scale networks we can observe can still be informed by classis questions in social network analysis.
In this class, we take a brisk tour through the classic ideas of social network analysis including preferential attachment, small worlds, homophily, the friendship paradox and clustering. Bernie demonstrates how these ideas are not only applicable to modern digital networks but have been updated with interesting insights fromdata on Twitter, Facebook and the World Wide Web itself.
This is an introductory class, an advanced class session is planned for 2018.
Readings:
Hidalgo, C.A. (2016). Disconnected, fragmented, or united? A trans-disciplinary review of network science. Applied Network Science, 1(6), 1-19 . http://doi.org/10.1007/s41109-016-0010-3
Hogan, B. (2017). Online Social Networks: Concepts for Data Collection and Analysis. In Fielding, N.G., Lee, R., & Blank, G. (eds). The Sage Handbook of Online Research Methods. Thousand Oaks, Ca: Sage Publications. Pp. 241-258 Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3047869
Harrington, H.A., Beguerisse-diaz, M., Rombach, M.P., Keating, L. M., & Porter, M.A. (2013). Commentary: Teach network science to teenagers. Network Science, 1(2), 226-247. http://doi.org/10.1017/nws.2013.11
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13:24
The Social Network — Sorkin, Structure, and Collaboration
Listen to our podcast episode further discussing The Social Network: https://apple.co/2m8l...
published: 31 Jan 2017
The Social Network — Sorkin, Structure, and Collaboration
The Social Network — Sorkin, Structure, and Collaboration
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- published: 31 Jan 2017
- views: 1796730
Listen to our podcast episode further discussing The Social Network: https://apple.co/2m8lbEV
Support LFTS: http://patreon.com/LFTScreenplay
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Website: https://www.lessonsfromthescreenplay.com/
Sorkin's dialogue is famous for being rapid-fire and full of wit. In this video I look at the function of this style, how he uses non-linear structure to frame the story, and the critical role that collaboration played in the creation of The Social Network.
Check out all the screenwriting books we use as resources: https://kit.co/LFTS/screenwriting-books
The Social Network
Screenplay by Aaron Sorkin
Directed by David Fincher
Starring Jesse Eisenberg, Andrew Garfield, Justin Timberlake, Armie Hammer, Rooney mara.
DP/30 Sorkin Interview: https://www.youtube.com/watch?v=Ya3jOt9K1Qk
Watch the behind-the-scenes documentary: http://www.imdb.com/video/imdb/vi1594268185/
Translate this video into your language:
http://www.youtube.com/timedtext_video?ref=share&v=8IAGH6k17nw
Thanks to Diego Rojas for composing original music for this video!
Check him out: https://soundcloud.com/diegorojasguitar
Marxist Arrow by Twin Musicom is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)
Artist: http://www.twinmusicom.org/
0:59
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #t...
published: 07 Dec 2024
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending
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- published: 07 Dec 2024
- views: 522
😮Must watch for every trader Part 2 #anirudhacharyaji #stockmarket #viralshorts #shorts #trending
In second part guru ji tell about of stock market is only wait and passions.
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1:03:21
Social Network Analysis. Lecture1. Introduction to network analysis
published: 18 Sep 2020
Social Network Analysis. Lecture1. Introduction to network analysis
Social Network Analysis. Lecture1. Introduction to network analysis
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- published: 18 Sep 2020
- views: 7026
Social network analysis
Social network analysis (SNA) is the process of investigating social structures through the use of network and graph theories. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties or edges (relationships or interactions) that connect them. Examples of social structures commonly visualized through social network analysis include social media networks, friendship and acquaintance networks, kinship, disease transmission,and sexual relationships. These networks are often visualized through sociograms in which nodes are represented as points and ties are represented as lines.
Social network analysis has emerged as a key technique in modern sociology. It has also gained a significant following in anthropology, biology, communication studies, economics, geography, history, information science, organizational studies, political science, social psychology, development studies, and sociolinguistics and is now commonly available as a consumer tool.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Social_network_analysis
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