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View PDF Abstract: Community analysis algorithm proposed by Clauset, Newman, and Moore (CNM algorithm) finds community structure in social networks. Unfortunately, CNM algorithm does not scale well and its use is practically limited to networks whose sizes are up to 500,000 nodes. The paper identifies that this inefficiency is caused from merging communities in unbalanced manner. The paper introdu
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â âAvatarâ What support for avatars Installing sudo gem install avatar The basics Set up Avatar::source (by default, a Gravatar) Use Avatar::source.avatar_url_for(person, options) or a view helper Demonstration of usage app/helpers/people_helper.rb: class PeopleHelper include Avatar::View::ActionViewSupport end app/views/people/show.html.erb: <%= avatar_tag(@current_user, :size => 40) %> Forum htt
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RubyKaigi 2008 News: 1.9.1 In December, Ruby Heading For ISO Standardization (Credit: june29 - photo under CC 2.0 Attribution license) RubyKaigi 2008 took place a couple of weeks ago. As the main Japanese Ruby conference, RubyKaigi is the de-facto authoritative Ruby conference, and the news that came out of the conference this year did little to shake its stature. The online enterprise news public
We propose a simple method to extract the community structure of large networks. Our method is a heuristic method that is based on modularity optimization. It is shown to outperform all other known community detection method in terms of computation time. Moreover, the quality of the communities detected is very good, as measured by the so-called modularity. This is shown first by identifying langu
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Objective of the study To learn how computer users use their desktops. We invite you to participate. We started collecting the data on July 3rd, 2008. Instructions (Not on Mac? See instructions for Windows and Linux) Minimize all windows or switch to an unused space. We want to see your desktop. Don't clean up anything! (or it will skew the study) We want to see a bit of randomness there! :) No, i
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