Understanding user information sharing behaviors

This is an assignment project for Social Media Analysis course in Fall 2012

Project Proposal

Characterizing user behaviors in retweeting in Twitter

Team Members

Tuan Anh

Goal

Identifying the relationship between likelihood that a user retweets a tweet with some other network and linguistic factors, e.g., the relative position of the follower and the followee in the network (they are in the same political community or not), their centralities within the network and their communities, or the topic of the tweets, etc.

Methods

• Using bag-of-words based classifiers to identify user community label
• Measuring user relative position in network using their community label and other
• Measuring the relationship between the measures using their correlation coefficients, e.g, Pearson correlation

Data Set

The dataset has been crawled from Twitter using Twitter's APIs. Starting from a set of selected influential users, e.g., politician (barrackobama, mittromney, etc) and political bloggers (dailykos, ameriablog, etc) , we expanded the set by including their followers and followees. Tweets, including retweets, from all the users then will be crawled in daily basis. Roughly, we have 400K users, 7M tweets (about one-fifth are retweets) per month.