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social-media-mining

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This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

  • Updated Apr 18, 2018
  • Julia

Implemented degree, closeness, betweenness and eigenvector centrality in python with and without Networkx Library. Created a network graph, with node size relative to the eigen vector centralities of the nodes. It uses Numpy, Matplotlib, Networkx and itertools libraries for fulfilling the requirements.

  • Updated Mar 28, 2018
  • Jupyter Notebook
COVID-19-disinformation

It detects the communities within a twitter network. It does this by first getting the friends and followers and then detecting the reciprocal friends. It then again gets the friends and followers of the top 5 reciprocal friends list and creates a network on which the communities are detected

  • Updated Mar 28, 2018
  • Jupyter Notebook

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