A simplistic model for identifying prominent web users in directed multiplex social networks: a case study using Twitter networks

Measuring Reputation and Influence in Online Social Networks: A Systematic Literature Review

“…Twitter is considered as one of the main OSNs today [4]. It was established in 2006 and since 2010 has been studied extensively in the contexts of social network analysis, computer science, and sociology [51] [77] [80] [85] [94]. It is a microblogging site on which people broadcast short messages (up to 280 characters), called tweets.…”

“…Higher values of WR are indicative of a more influential user; thus ranking can be carried out quickly and intuitively while fully appreciating the complex spread patterns of information through the microblog network. Loucif et al [51] blended both the explicit and implicit features of Twitter to build the proposed model. The explicit features were replies, retweets, and mentions.…”

“…The model proposed by Loucif et al [51] used commonly known explicit features on Twitter, such as tweets, replies, retweets, and mentions. The model also used an implicit feature that can be inferred from the tweets posted by a given user on Twitter.…”

“…One of the ways to spread messages via Twitter is to rely on influencers. Identifying these influencers is still a challenge for many researchers, and Loucif et al [51] presented a method of measuring influence based on structural, interactional, and semantic dimensions of the social network.…”

“…Thus, it is possible to imagine more complex methods that achieve higher accuracy by accounting for additional factors. Finally, the performance of the algorithm was evaluated strictly by a comparison with competing methods without any external confirmation of influence [51] [71].…”