TY - GEN
T1 - From public gatherings to the burst of collective violence
T2 - 16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018
AU - Huang, Lida
AU - Cai, Guoray
AU - Yuan, Hogyong
AU - Chen, Jianguo
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the Ministry of Science and Technology of the People’s Republic of China under Grant No. 2015BAK10B02. The work of the second author is also partially supported by a grant from the National Science Foundation (US) under award IIS-1211059, a grant from the Ministry of Education (China) under award #16JZD023, and a grant from the National Social Science Foundation under #17BTQ056.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/24
Y1 - 2018/12/24
N2 - Understanding how collective actions evolve into violence is critical for guiding public safety decisions. While real- world observations of collective violence are difficult and rare, simulation models can help us to explore its evolution process. We propose an Agent-Based Emotion Contagion (ABEC) model that simulates the spread of group violence when the mechanism of contagious grievance is at work. The model is motivated by related social psychological theories of group behavior and is implemented by incorporating the epidemiological emotion contagion mechanism with crowd's game-theoretic behaviors with an agent-based approach. Our simulation model generates some crowd patterns, including local outbursts of collective violence with grievance contagion, dynamic spatial clustering of violent civilians and the nonlinear evolution of collective violence. We also explore the variations of violence evolution by varying some parameters of our model. Results show that the high-density crowds and the widespread of grievance promote violence outburst. These results suggest opportunities to curb collective violence through dispersing crowds and allaying the grievance.
AB - Understanding how collective actions evolve into violence is critical for guiding public safety decisions. While real- world observations of collective violence are difficult and rare, simulation models can help us to explore its evolution process. We propose an Agent-Based Emotion Contagion (ABEC) model that simulates the spread of group violence when the mechanism of contagious grievance is at work. The model is motivated by related social psychological theories of group behavior and is implemented by incorporating the epidemiological emotion contagion mechanism with crowd's game-theoretic behaviors with an agent-based approach. Our simulation model generates some crowd patterns, including local outbursts of collective violence with grievance contagion, dynamic spatial clustering of violent civilians and the nonlinear evolution of collective violence. We also explore the variations of violence evolution by varying some parameters of our model. Results show that the high-density crowds and the widespread of grievance promote violence outburst. These results suggest opportunities to curb collective violence through dispersing crowds and allaying the grievance.
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U2 - 10.1109/ISI.2018.8587352
DO - 10.1109/ISI.2018.8587352
M3 - Conference contribution
AN - SCOPUS:85061057721
T3 - 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018
SP - 193
EP - 198
BT - 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018
A2 - Lee, Dongwon
A2 - Mezzour, Ghita
A2 - Kumaraguru, Ponnurangam
A2 - Saxena, Nitesh
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 November 2018 through 11 November 2018
ER -