The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Efficient identification of starters and followers in social media
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Why We Twitter: An Analysis of a Microblogging Community
Advances in Web Mining and Web Usage Analysis
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
TwitterMonitor: trend detection over the twitter stream
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
From chatter to headlines: harnessing the real-time web for personalized news recommendation
Proceedings of the fifth ACM international conference on Web search and data mining
Tweeting is believing?: understanding microblog credibility perceptions
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Tweet Analysis for Real-Time Event Detection and Earthquake Reporting System Development
IEEE Transactions on Knowledge and Data Engineering
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Twitter, being both a micro-blogging service and a social network, has become one of the primary means of communicating and disseminating information online. As such, significant amount of research has been devoted to analyzing the Twitter graph, the tweets, and the behavior of its users. In this work, we undertake a study of the user profile bios on Twitter. The goal of our study is two-fold: first, to understand what Twitter users choose to expose about themselves in their profile bio, and second, to investigate if it is possible to exploit the information in the user bio for tasks such as predicting connections between Twitter users.