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Measuring-User-Influence-in-Twitter

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The attached code is an implementation of three different methods measuring the influence of a Twitter account. Specifically, we have developed the following techniques:

•Cha, Meeyoung, et al. "Measuring User Influence in Twitter: The Million Follower Fallacy." ICWSM 10 (2010): 10-17. http://www.aaai.org/ocs/index.php/ICWSM/ICWSM10/paper/viewFile/1538/1826,2011

•Anger, Isabel, and Christian Kittl. "Measuring influence on Twitter." Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies. ACM, 2011.
http://dl.acm.org/citation.cfm?id=2024326

•Lee, Changhyun, et al. "Finding influentials based on the temporal order of information adoption in twitter." Proceedings of the 19th international conference on World wide web. ACM, 2010.
http://dl.acm.org/citation.cfm?id=1772842

###Dependencies The available code requires Java 7 programming language and the following libraries:

-- Mallet

-- Klout

-- Gson 1.6

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