TwitterRank
Singapore Management University · Pennsylvania State University
Abstract
This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networking model called "following", in which each user can choose who she wants to "follow" to receive tweets from without requiring the latter to give permission first. In a dataset prepared for this study, it is observed that (1) 72.4% of the users in Twitter follow more than 80% of their followers, and (2) 80.5% of the users have 80% of users they are following follow them back. Our study reveals that the presence of "reciprocity" can be explained by phenomenon of homophily. Based on this finding, TwitterRank, an extension of PageRank…
Citation impact
- FWCI
- 102.85
- Percentile
- 100%
- References
- 17
Authors
4Topics & keywords
- PageRank
- Homophily
- Computer science
- Reciprocity (cultural anthropology)
- Permission
- Similarity (geometry)
- Information retrieval
- Microblogging