Context for Twitter Analysis
A couple articles that work to explain twitter data analysis. These rely on proprietary tools.
These research papers use many of the same techniques that are introduced in class. Some of these might motivate a class project.
Gayo-Avello Don't Turn Social Media Into Another 'Literary Digest' Poll Communications of the ACM, Oct. 2011
Diakopoulos & Shamma Characterizing Debate Performance via Aggregated Twitter Sentiment Proceedings of ACM Conference on Human-Factors in Computing Systems CHI2010
Ratkiewicz, Conover, Meiss, Goncalves, Flammini & Menczer Detecting and Tracking Political Abuse in Social Media Proceedings of the International AAAI Conference on Weblogs and Social Media, ICWSM2011
Bastos, Puschmann & Travitzki Tweeting across hashtags: overlapping users and the importance of language, topics and politics Proceedings of Hypertext and Social Media, HT2013
Shamma, Kennedy & Churchill Peaks and Persistence: Modeling the Shape of Microblog Conversations Proceedings of the ACM Conference on Computer-Supported Cooperative Work, CSCW 2011
Quercia, Ellis, Capra & Crowcroft Tracking "Gross Community Hapiness" from Tweets Proceedings of the ACM Conference on Computer-Supported Cooperative Work, CSCW 2012
Park, Barash, Fink & Cha Emoticon Style: Interpreting Differences in Emoticons Across Cultures Proceedings of the International AAAI Conference on Weblogs and Social Media, ICWSM2013
Huang, Thornton & Efthimiadis Conversational Tagging in Twitter Proceedings of Hypertext and Social Media, HT2010
Wu, Hoffman, Mason & WattsWho Says What to Whom on Twitter Proceedings of the 20th international conference on World wide web, WWW 2011
Chu, Gianvecchio, Wang & Jajodia Who is Tweeting on Twitter: Human, Bot, or Cyborg Proceedings of the 2010 Annual Computer Security Applications Conference, ACSAC'10
Cha, Haddadi, Benevenutu & Gummadi Measuring User Influence in Twitter: The Million Follower Fallacy Proceedings of the International AAAI Conference on Weblogs and Social Media, ICWSM2010
Kwak, Chun & Noon Fragile Online Relationship: A First Look at Unfollow Dynamics in Twitter Proceedings of ACM Conference on Human-Factors in Computing Systems (CHI 2011)
Xu, Huang, Kwak & Contractor Structures of Broken Ties: Exploring Unfollow Behavior on Twitter Proceedings of ACM Conference on Computer Supported Cooperative Work (CSCW 2013)
Sharma, Ghosh, Benevenuto, Ganguly & Gummadi Inferring Who-is-Who in the Twitter Social Network Workshop on Online Social Networks (WOSNâ€™12), at the ACM SIGCOMM Conference
Starbird, Palen, Hughes & Vieweg Chatter on The Red: What Hazards Threat Reveals about the Social Life of Microblogged Information Proceedings of the ACM Conference on Computer-Supported Cooperative Work, CSCW 2010
Spiro, Sutton, Greczek, Fitzhugh, Pierski & Butts Rumoring During Extreme Events: A Case Study of Deepwater Horizon 2010 Proceedings of the 3rd Annual ACM Web Science Conference, WebSci'12
Sakai, Okazaki & Matsuo Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors Proceedings of the 19th international conference on World wide web, WWW 2010
These tutorials provide step-by-step instructions for certain types of twitter analysis (mostly sentiment). Many of the early steps are about streaming twitter data, which we have other tools to do. It may still be useful to take a glance through these steps to get a sense of a common workflow of twitter analysis. Note that some of these tutorials do not have a clear analytical target.
Visualization for Twitter
Visualization is not the focus of the class, yet it is a useful tool to know and is broadly used in data analytics. The following resources can be good sources of inspiration for your project ideas.