TY - GEN
T1 - A hybrid epidemic model for antinormative behavior in online social networks
AU - Liao, Cong
AU - Squicciarini, Anna
AU - Griffin, Christopher
AU - Rajtmajer, Sarah
PY - 2015/8/25
Y1 - 2015/8/25
N2 - In this paper, we describe a novel approach to investigate negative behavior dynamics in online social networks as epidemic phenomena. We present a finite-state machine model for time-varying epidemic dynamics, and validate this model with experiments over a large dataset of Youtube commentaries, indicating how different epidemic patterns of behavior can be tied to specific interaction patterns among users. A full version of this paper is available on arXiv.org.
AB - In this paper, we describe a novel approach to investigate negative behavior dynamics in online social networks as epidemic phenomena. We present a finite-state machine model for time-varying epidemic dynamics, and validate this model with experiments over a large dataset of Youtube commentaries, indicating how different epidemic patterns of behavior can be tied to specific interaction patterns among users. A full version of this paper is available on arXiv.org.
UR - http://www.scopus.com/inward/record.url?scp=84962582575&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962582575&partnerID=8YFLogxK
U2 - 10.1145/2808797.2809334
DO - 10.1145/2808797.2809334
M3 - Conference contribution
AN - SCOPUS:84962582575
T3 - Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
SP - 1563
EP - 1564
BT - Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
A2 - Pei, Jian
A2 - Tang, Jie
A2 - Silvestri, Fabrizio
PB - Association for Computing Machinery, Inc
T2 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015
Y2 - 25 August 2015 through 28 August 2015
ER -