Document Type

Presentation

Publication Date

2010

Abstract

This work contributes to the study of retweet behavior on Twitter surrounding real-world events. We analyze over a million tweets pertaining to three events, present general tweet properties in such topical datasets and qualitatively analyze the properties of the retweet behavior surrounding the most tweeted/viral content pieces. Findings include a clear relationship between sparse/dense retweet patterns and the content and type of a tweet itself; suggesting the need to study content properties in link-based diffusion models.

Comments

Presented at the 4th International AAAI Conference on Weblogs and Social Media (ICWSM), Washington, DC, May 23-26, 2010.

The paper presented in tandem with the poster can be found at http://www.aaai.org/ocs/index.php/ICWSM/ICWSM10/paper/view/1484/1880.


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