From public gatherings to the burst of collective violence: An agent-based emotion contagion model

Lida Huang, Guoray Cai, Hogyong Yuan, Jianguo Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018
EditorsDongwon Lee, Ghita Mezzour, Ponnurangam Kumaraguru, Nitesh Saxena
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages193-198
Number of pages6
ISBN (Electronic)9781538678480
DOIs
StatePublished - Dec 24 2018
Event16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018 - Miami, United States
Duration: Nov 9 2018Nov 11 2018

Publication series

Name2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018

Other

Other16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018
CountryUnited States
CityMiami
Period11/9/1811/11/18

Fingerprint

emotion
violence
simulation model
Curbs
psychological theory
Contagion
Agent-based
Emotion
Violence
collective behavior
Group
Grievance

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Communication

Cite this

Huang, L., Cai, G., Yuan, H., & Chen, J. (2018). From public gatherings to the burst of collective violence: An agent-based emotion contagion model. In D. Lee, G. Mezzour, P. Kumaraguru, & N. Saxena (Eds.), 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018 (pp. 193-198). [8587352] (2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2018.8587352
Huang, Lida ; Cai, Guoray ; Yuan, Hogyong ; Chen, Jianguo. / From public gatherings to the burst of collective violence : An agent-based emotion contagion model. 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018. editor / Dongwon Lee ; Ghita Mezzour ; Ponnurangam Kumaraguru ; Nitesh Saxena. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 193-198 (2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018).
@inproceedings{ed166957bf2949a79e97e1a4247d90e6,
title = "From public gatherings to the burst of collective violence: An agent-based emotion contagion model",
abstract = "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.",
author = "Lida Huang and Guoray Cai and Hogyong Yuan and Jianguo Chen",
year = "2018",
month = "12",
day = "24",
doi = "10.1109/ISI.2018.8587352",
language = "English (US)",
series = "2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "193--198",
editor = "Dongwon Lee and Ghita Mezzour and Ponnurangam Kumaraguru and Nitesh Saxena",
booktitle = "2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018",
address = "United States",

}

Huang, L, Cai, G, Yuan, H & Chen, J 2018, From public gatherings to the burst of collective violence: An agent-based emotion contagion model. in D Lee, G Mezzour, P Kumaraguru & N Saxena (eds), 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018., 8587352, 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 193-198, 16th IEEE International Conference on Intelligence and Security Informatics, ISI 2018, Miami, United States, 11/9/18. https://doi.org/10.1109/ISI.2018.8587352

From public gatherings to the burst of collective violence : An agent-based emotion contagion model. / Huang, Lida; Cai, Guoray; Yuan, Hogyong; Chen, Jianguo.

2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018. ed. / Dongwon Lee; Ghita Mezzour; Ponnurangam Kumaraguru; Nitesh Saxena. Institute of Electrical and Electronics Engineers Inc., 2018. p. 193-198 8587352 (2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - From public gatherings to the burst of collective violence

T2 - An agent-based emotion contagion model

AU - Huang, Lida

AU - Cai, Guoray

AU - Yuan, Hogyong

AU - Chen, Jianguo

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.

UR - http://www.scopus.com/inward/record.url?scp=85061057721&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061057721&partnerID=8YFLogxK

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.

ER -

Huang L, Cai G, Yuan H, Chen J. From public gatherings to the burst of collective violence: An agent-based emotion contagion model. In Lee D, Mezzour G, Kumaraguru P, Saxena N, editors, 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 193-198. 8587352. (2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018). https://doi.org/10.1109/ISI.2018.8587352