Corpus ID: 10579176

Measuring User Influence in Twitter: The Million Follower Fallacy

@inproceedings{Cha2010MeasuringUI,
  title={Measuring User Influence in Twitter: The Million Follower Fallacy},
  author={M. Cha and H. Haddadi and Fabr{\'i}cio Benevenuto and K. Gummadi},
  booktitle={ICWSM},
  year={2010}
}
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… Expand
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  • Huy Nguyen, Rong Zheng
  • Computer Science, Physics
  • 2014 IEEE International Conference on Communications (ICC)
  • 2014
To Find Influential's in Twitter based on Information Propagation
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References

SHOWING 1-10 OF 25 REFERENCES
TwitterRank: finding topic-sensitive influential twitterers
A measurement-driven analysis of information propagation in the flickr social network
Learning influence probabilities in social networks
Influentials, Networks, and Public Opinion Formation
The dynamics of viral marketing
The Strength of Weak Ties
Mining the network value of customers
...
1
2
3
...