Proceedings of the 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

Abstract

In this paper, we analyze the message exchange patterns that emerge when social bots and human users communicate via Twitter. In particular, we use a multilayer network to analyze the emergence of the corresponding representative and statistically significant sub-graphs (so called motifs). Our analysis is based on two recent riot events, namely the Philadelphia Super-bowl 2018 riots and the 2017 G20 riots in Hamburg (Germany). We found that in these two events message exchanges between humans form characteristic and re-occurring communication patterns. In contrast, message exchanges including bots occur rather sporadically and do not follow a particular statistically significant pattern.
OriginalspracheEnglisch
Titel des SammelwerksOn Message Exchange Motifs Emerging during Human/Bot Interactions in Multilayer Networks: The Case of Two Riot Events
Herausgeber*innen Ulrik Brandes, Chandan Reddy, Andrea Tagarelli
ErscheinungsortBarcelona
VerlagIEEE
Seiten1274 - 1279
ISBN (Print)2473-9928
PublikationsstatusVeröffentlicht - 2018

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