Kusen, Ema, Strembeck, Mark. 2018. Proceedings of the 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). In On Message Exchange Motifs Emerging during Human/Bot Interactions in Multilayer Networks: The Case of Two Riot Events, Hrsg. Ulrik Brandes, Chandan Reddy, Andrea Tagarelli, 1274-1279. Barcelona: IEEE.

RIS

@INPROCEEDINGS{Kusen2018,
title = {Proceedings of the 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)},
author = {Ema Kusen and Mark Strembeck},
publisher = {IEEE},
year = {2018},
isbn = {2473-9928},
address = {Barcelona},
publisher = {IEEE},
language = {EN},
pages = {1274-1279},
series = {On Message Exchange Motifs Emerging during Human/Bot Interactions in Multilayer Networks: The Case of Two Riot Events},
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.},
}