Characterizing social cascades in flickr
Proceedings of the first workshop on Online social networks
A measurement-driven analysis of information propagation in the flickr social network
Proceedings of the 18th international conference on World wide web
Analyzing patterns of user content generation in online social networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Social Behavior Association and Influence in Social Networks
UIC-ATC '09 Proceedings of the 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Using a model of social dynamics to predict popularity of news
Proceedings of the 19th international conference on World wide web
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Although extensive studies have been conducted on top of online social networks OSNs, it is not clear how to characterise information propagation and social influence, two types of important but not well defined social behaviour. This paper presents a measurement study of 58 M messages collected from 700 K users on Twitter.com, a popular social medium. We analyse the propagation patterns of general messages and show how breaking news Michael Jackson's death spread through Twitter. Furthermore, we evaluate different social influences by examining their stabilities, assessments, and correlations. This paper addresses the complications and challenges we encounter when measuring message propagation and social influence on OSNs. We believe that our results here provide valuable insights for future OSN research.