I am interested in doing a project on identifying communities in the twitter network of people associated with UConn.
Resources
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Tweepy. Tweepy is an interface to the twitter API through python that I can use to collect data. (software)
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Detecting Clusters/Communities in Social Networks. This is a review article from the journal Multivariate Behavioral Research that discusses a range of approaches to community detection and that has a lot of references I can use to learn more.
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Community structure in social and biological networks This is a somewhat old (2002) PNAS article on community detection but it showed up in my search as highly cited so I will take a look.
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networkx is a python package for working with graphs. I looked in the documentation and it has preprogrammed functions for some of the common community detection methods so that will make my life easier, at least to start.
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How to Scrape Tweets from Twitter. This is a blog post about how to use tweepy.
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Get and work with twitter data in python using Tweepy This is a lesson from a collection of open-source earth science projects. It explains how to use twitter to look for people tweeting about wildfires but it has a lot of code examples explaining how to get information out of twitter.
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Zachary's Karate Club is the wikipedia page on the Karate Club Network. This network was published in 1977 in the Journal of Anthropological Research by W. W. Zachary in a paper called An information flow model for conflict and fission in small groups. This was basically the start of using mathematical graph theory and computers in this type of social science problem. Note that the link is to a jstor article so requires permission to access.
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Ferenc Beres GitHub Site. I found Ferenc Beres by looking in github for people studying twitter. He is a PhD student in Hungary who has done a lot of work on machine learning algorithms and twitter, and I think I can learn a lot from his code and publications.
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I have a found a new reference that I want to record.