2013 · 97 citations · 20 references
Social SciencesCommunicationMedia StudiesSocial InfluenceSocial Media AnalyticsInfluencer AnalysisInformation SpreadSocial MediaSocial Media CommunicationSocial Network AnalysisSocial NetworksFollowersLearning To RankOnline Learning To RankUser Interests
An important aspect of communication in Twitter (and other Social Network is message propagation -- people creating posts for others to share. Although there has been work on modelling how tweets in Twitter are propagated (retweeted), an untackled problem has been who will retweet a message. Here we consider the task of finding who will retweet a message posted on Twitter. Within a learning to-rank framework, we explore a wide range of features, such as retweet history, followers status, followers active time and followers interests. We find that followers who retweeted or mentioned the author's tweets frequently before and have common interests are more likely to be retweeters.
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A vector space model for automatic indexing
Gerard Salton, Anita M.-Y. Wong, Chul‐Su Yang · Communications of the ACM · 1975 · 7.4K citations · Full text
What is Twitter, a social network or a news media?
Haewoon Kwak, Changhyun Lee, Hosung Park et al. · 2010 · 6.7K citations · Full text
Learning to rank for information retrieval
Tie‐Yan Liu · 2010 · 2K citations