May 10, 2024, 4:47 a.m. | Serena Tardelli, Leonardo Nizzoli, Maurizio Tesconi, Mauro Conti, Preslav Nakov, Giovanni Da San Martino, Stefano Cresci

cs.CL updates on arXiv.org arxiv.org

arXiv:2301.06774v2 Announce Type: replace-cross
Abstract: Large-scale online campaigns, malicious or otherwise, require a significant degree of coordination among participants, which sparked interest in the study of coordinated online behavior. State-of-the-art methods for detecting coordinated behavior perform static analyses, disregarding the temporal dynamics of coordination. Here, we carry out the first dynamic analysis of coordinated behavior. To reach our goal we build a multiplex temporal network and we perform dynamic community detection to identify groups of users that exhibited coordinated behaviors …

abstract art arxiv behavior campaigns cs.cl cs.cy cs.si dynamics influence scale stability state study temporal type

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