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2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2018)
Barcelona, Spain
Aug. 28, 2018 to Aug. 31, 2018
ISSN: 2473-9928
ISBN: 978-1-5386-6052-2
pp: 1274-1279
Ema Kusen , Institute of Information Systems and New Media, Vienna University of Economics and Business (WU)
Mark Strembeck , Secure Business Austria Research Center (SBA), Complexity Science Hub (CSH), Vienna University of Economics and Business (WU)
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.
INDEX TERMS
motifs, multilayer network, social bots, Twitter
CITATION

E. Kusen and M. Strembeck, "On Message Exchange Motifs Emerging During Human/Bot Interactions in Multilayer Networks: The Case of Two Riot Events," 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, 2018, pp. 1274-1279.
doi:10.1109/ASONAM.2018.8508275
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