TY  - CONF
TI  - Proceedings of the 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
AB  - 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.
AF  - On Message Exchange Motifs Emerging during Human/Bot Interactions in Multilayer Networks: The Case of Two Riot Events
PP  - Barcelona
SN  - 2473-9928
PB  - IEEE
SP  - 1274
EP  - 1279
PY  - 2018-01-01
AU  - Kusen, Ema 
AU  - Strembeck, Mark 
ER -