Difference between revisions of "Compare Measuring User Influence in Twitter and Influentials, Networks, and Public Opinion Formation"
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== Problem == | == Problem == | ||
| − | Both paper address the same problem i.e. understanding the process of public opinion formation. Watts's paper | + | Both paper address the same problem i.e. understanding the process of public opinion formation. Watts's paper establishes a theoretical foundation for information diffusion and Cha's paper offers the empirical evidence on a real-world social network Twitter. |
== Big idea == | == Big idea == | ||
Revision as of 23:57, 5 November 2012
Two Papers
- Measuring_User_Influence_in_Twitter:_The_Million_Follower_Fallacy, Cha, M. and Haddadi, H. and Benevenuto, F. and Gummadi, K.P., ICWSM 2010
- Influentials,_Networks,_and_Public_Opinion_Formation, Watts, Duncan J., and Peter Sheridan Dodds. Journal of consumer research 34.4 (2007): 441-458.
Problem
Both paper address the same problem i.e. understanding the process of public opinion formation. Watts's paper establishes a theoretical foundation for information diffusion and Cha's paper offers the empirical evidence on a real-world social network Twitter.
Big idea
Dataset
Method
Additional Questions
- How much time did you spend reading the (new, non-wikified) paper you summarized? 3.5 hour.
- How much time did you spend reading the old wikified paper? 30 minutes.
- How much time did you spend reading the summary of the old paper? 15 minutes
- How much time did you spend reading background materiel? 30 minutes
- Was there a study plan for the old paper? No
