Measuring User Influence in Twitter: The Million Follower Fallacy
Max Planck Society · Max Planck Institute for Software Systems · +1 more institution
Abstract
Directed links in social media could represent anything from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links determine the flow of information and hence indicate a user's influence on others — a concept that is crucial in sociology and viral marketing. In this paper, using a large amount of data collected from Twitter, we present an in-depth comparison of three measures of influence: indegree, retweets, and mentions. Based on these measures, we investigate the dynamics of user influence across topics and time. We make several interesting observations. First, popular users who have high indegree are not necessarily influential in terms of…
Citation impact
- FWCI
- 154.46
- Percentile
- 100%
- References
- 24
Authors
4- MCMeeyoung ChaCorresponding
Max Planck Society, Max Planck Institute for Software Systems
- HHHamed Haddadi
Max Planck Society, Max Planck Institute for Software Systems, Universidad de Londres
- FBFabrício Benevenuto
Max Planck Society, Max Planck Institute for Software Systems
- KPKrishna P. Gummadi
Max Planck Society, Max Planck Institute for Software Systems
Topics & keywords
- Gossip
- Viral marketing
- Social media
- Limiting
- Variety (cybernetics)
- Computer science
- Fallacy
- Homophily