Abstract
From the perspective of Stochastic Catastrophe Theory, this paper is aimed to research vulnerability and initiation mechanism of extreme group conflict under the influence of external random disturbance factors. The paper discussed vulnerable mutation characteristics based on Stochastic Catastrophe Theory. We found that Stochastic differential equation model about group conflict behavior evolution is built by adding white noise under the situation of taking external random disturbance factors into consideration. The critical area of the participant’s behavior mutation is discovered by topological transformation and mathematical analysis of the equation; at the same time, we gave the further analysis of mutation behavior about group conflict radicalizes vulnerability. Finally, we processed the simulation analysis based on a specific case. In summary, the paper shows that behaviors of participants will change suddenly jumps from the condition of nonchalance and relaxation to extreme resist and conflict when the intensity of endogenous influence factor crosses over the critical points. In addition, when the area of disagreement is affected by exogenous interference factors, unstable disturbances will occur in the behavior of participants.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Aznar-Marquez J, Ruiz-Tamarit JR (2017) Sustainable growth and environmental catastrophes. Math Soc Sci 89:83–91
Ceja L, Navarro J (2012) ‘Suddenly i get into the zone’: examining discontinuities and nonlinear changes in flow experiences at work. Hum Relat 65(9):1101–1147
Chen P, Chen JG (2015) Multi-agent modeling research on emergency group violent activity. Comput Simul 1:377–381 (in Chinese)
Chow PT, Cheung SO, Yiu TW (2012) A cusp catastrophe model of withdrawal in construction project dispute negotiation. Autom Constr 22:597–604
Cobb Loren (1980) Statistical catastrophe theory: an overview. Math Model 1:311–317
Diks C, Wang J (2016) Can a stochastic cusp catastrophe model explain housing market crashes? J Econ Dyn Control 69:68–88
Ezcurra R, Palacios D (2016) Terrorism and spatial disparities: does interregional inequality matter? Eur J Political Econ 42:60–74
Li F, Li X, Liu W (2017) Research on evolution of individual psychological state in coal mine accidents based on cusp catastrophe theory. Saf Coal Min 48:242–248 (in Chinese)
Li J (2017) Extremism organization and the construction of identity politics. World Econ Politics 4:83–105 (in Chinese)
Lv S, Yang R, Huang C (2017) Contusion and recovery of individual cognitive based on catastrophe theory: a computational model. Neurocomputing 220
Shi Y, Pan M, Peng D (2017) Replicator dynamics and evolutionary game of social tolerance: the role of neutral agents. Econ Lett 159:10–14
Song S, Duan X, Zhao J (2017) Vulnerability assessment of mass passenger flow in subway station based on catastrophe theory. J WUT (Inf Manag Eng) 39:125–129 (in Chinese)
Thom R (1975) Structural and stability and morphogenesis
Wang Y, Weidmann UA, Wang H (2017) Using catastrophe theory to describe railway system safety and discuss system risk concept. Saf Sci 91:269–285
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Cao, Y., Xiong, G., Liu, D., Xu, G. (2019). Vulnerability and Excitation Mechanism of the Extreme Group Conflict Based on Stochastic Catastrophe Theory. In: Xu, J., Cooke, F., Gen, M., Ahmed, S. (eds) Proceedings of the Twelfth International Conference on Management Science and Engineering Management. ICMSEM 2018. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93351-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-93351-1_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93350-4
Online ISBN: 978-3-319-93351-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)