Influential users in Twitter: detection and evolution analysis

In this paper, we study how to detect the most influential users in the microblogging social network platform Twitter and their evolution over time. To this aim, we consider the Dynamic Retweet Graph (DRG) proposed in Amati et al. ( 2016 ) and partially analyzed in Amati et al. (IADIS Int J Comput S...

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Veröffentlicht in:	Multimedia tools and applications 2019-02, Vol.78 (3), p.3395-3407
Hauptverfasser:	Amati, Giambattista, Angelini, Simone, Gambosi, Giorgio, Rossi, Gianluca, Vocca, Paola
Format:	Artikel
Sprache:	eng
Schlagworte:	Apexes Computer Communication Networks Computer Science Data Structures and Information Theory Evolution Graphs Multimedia Information Systems Nodes Search engines Social networks Special Purpose and Application-Based Systems
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