Abstract:In order to understand the process of individual extremism in the context of terrorism and effectively prevent the spread of extremist ideology. Based on the Hegselmann-Krause model of opinion dynamics, this paper proposes a dual-threshold opinion dynamics model for the evolution of individual extreme thoughts in the context of terrorism. Simulation experiments found that the interaction scope, different population structures and social network structures have significant influence on the evolution process of extreme thoughts. The model integrates three factors: individual characteristics, social relations and social environment in the process of extreme opinion dissemination,and the simulation calculation experiment reveals to a certain extent the law of the evolution of individual extreme thoughts in the context of terrorism.
王一伊, 卜凡亮. 涉恐个体极端思想演化双阈值观点动力学模型[J]. 复杂系统与复杂性科学, 2022, 19(4): 55-63.
WANG Yiyi, BU Fanliang. A Dual-threshold Viewpoint Dynamic Model for the Evolution of Individual Extreme Thoughts in the Context of Terrorism. Complex Systems and Complexity Science, 2022, 19(4): 55-63.
[1] 张焰. 中国境内恐怖袭击特点与防范[J]. 法制与社会, 2015(33):282,286. ZHANG Y. Characteristics and prevention of terrorist attacks in China [J]. Legal System and Society, 2015(33):282, 286. [2] 宋汀, 曹伟. 2017年国际恐怖主义态势报告[J]. 中国信息安全, 2018(1):99103. SONG T, CAO W. 2017 international terrorism situation report [J]. China Information Security, 2018(1):99103. [3] CASTILLO-CHAVEZ C, SONG B. Models for the Transmission Dynamics of Fanatic Behaviors, Bioterrorism: Mathematical Modeling Applications in Homeland Security[M]. Philadelphia: SIAM, 2003. [4] MCCLUSKEY C C, SANTOPRETE M. A bare-bones mathematical model of radicalization[J]. Journal of Dynamics and Games, 2018, 5:243264. [5] SANTOPRETE M, Xu F. Global stability in a mathematical model of de-radicalization[J]. Physica A :Statistical Mechanics and Its Applications, 2018, 509:151161. [6] GRZEGORZ M, SZNAJD-WERON K. Phase transitions in the kinetic ising model on the temporal directed random gegular graph[J]. Frontiers in Physics, 2017, 5(6):24. [7] LIMA F W S. Transition under noise in the sznajd model on square lattice[J]. International Journal of Modern Physics C, 2016, 27(3):18. [8] RONZANOVA L, BOGUNA M. Dynamics properties of the herding voter model with and without noise[J]. Physical Review E, 2017, 96(1):18. [9] KRAWIECKI A. Stochastic resonance in the majority vote model on regular and small-world lattices[J]. International Journal of Modern Physics B, 2017, 31(29):114. [10] DANIELE V, TIMOTEO C, FRANCO B, etal. The peace mediator effect: heterogeneous agents can foster consensus in continuous opinion mosels[J]. Physica A, 2016, 462(1):8491. [11] HAILI L, YIPING Y, XIAOFAN W. Opinion dynamics in networks with heterogeneous confidence and influence[J]. Physica A, 2013, 392(9):22482256. [12] 苏炯铭, 刘宝宏, 李琦. 社会群体中观点的信任、演化与共识[J]. 物理学报, 2014, 63(5):3643. SU Y M, LIU B H, LI Q. Trust, evolution and consensus of opinions in social groups[J]. Acta Physica Sinica, 2014, 63(5):3643. [13] 魏寒梅, 夏依丁·亚森. 塔吾尕孜村村民信仰现状和去极端化调查研究[J]. 科学与无神论, 2018, 116(6):4657. WEI H M, XIAYIDING Y. Investigation and research on the status quo of villagers' beliefs and de-extremification in tawugazi village [J]. Science and Atheism, 2018, 116(6):4657. [14] 白关峰. 宗教极端思想向妇女和青少年渗透问题研究——以兵团第三师四十四团十八连为例[J]. 兵团党校学报, 2015(1):4043. BAI G F. A study on the penetration of religious extremist thoughts into women and adolescents: taking the 18th company of the 44th regiment of the 3rd division of the corps as an example [J]. Journal of the Party School of the Corps, 2015(1):4043. [15] 樊宗臣. 面向社会舆情事件的人工社会建模与仿真研究[D]. 长沙;国防科学技术大学, 2015. FAN Z C. Modeling and simulation of artificial society for social public opinion events[D]. Changsha:National University of Defense Technology, 2015. [16] 葛渊峥. 基于agent的人工社会框架设计与生成方法[D]. 长沙:国防科学技术大学, 2014. GE Y Z. Design and generation method of artificial social framework based on agent[D]. Changsha: National University of Defense Technology, 2014. [17] BARRON P, KAI K, PRADHAN M. Local conflict in indonesia: measuring incidence and identifying patterns[J]. Policy Research Working Paper Series, 2004, 8(8):3384. [18] FAN P, LI P, JIANG Z, et al. Measurement and analysis of topology and information propagation on sina-microblog[C]. IEEE International Conference on Intelligence & Security Informatics. BeiJing:IEEE, 2011:396401. [19] BHAVNANI R, DONNAY K, et al. Group segregation and urban violence[J]. American Journal of Political Science, 2014, 58(1):226245. [20] DIXON P. Why the good friday agreement in northern ireland is not consociational[J]. The Political Quarterly, 2005, 76(3): 357367. [21] KUNOVICH R M AND HODSON R. Ethnic diversity, segregation, and inequality: a structural model of ethnic prejudice in Bosnia and Croatia[J]. The Sociological Quarterly, 2002, 43(2):185212. [22] RYDGREN J. Interethnic friendship, trust, and tolerance: findings from two north iraqi cities1[J]. American Journal of Sociology, 2013, 118(6):16501694. [23] MAY L, RICHARD M, YANEER B Y. Global pattern formation and ethnic/cultural violence[J]. Science, 2007, 317(5844):15401544. [24] 王利文. 东南亚伊斯兰极端主义思想的扩散: 诱因、影响及应对[J]. 南洋问题研究, 2019(2):1428. WANG L W. The Spread of islamic extremism in southeast Asia: causes, influences and solutions[J]. Southeast Asian Affairs, 2019(2):1428. [25] VIOLENT ISLAMIST EXTREMISM. The internet, and the homegrown terrorist threat [EB/OL]. http://hsgac.senate.gov/public/_files/IslamistReport.pdf. [26] 彭枭. 社会认同视角下欧洲的伊斯兰极端主义分析——经验观察、机制探索与柏林圣诞卡车恐袭的案例研究[J]. 欧洲研究, 2018, 36(4):103128. PENG X. European Islamic extremism from the perspective of social identity: empirical observation, mechanism exploration and a case study of berlin truck attack[J]. Chinese Journal of European Studies, 2018, 36(4):103128. [27] KRUGLANSKI A, FISHMAN S. What makes terrorism tick? its individual, group and organizational aspects[J]. Revista de Psicología Social, 2009, 24(2):139162.