[1]YIN Yanjun,TANG Weiqing.Simulation of the crowd collective behavior based on curiosity[J].CAAI Transactions on Intelligent Systems,2014,9(4):413-418.[doi:10.3969/j.issn.1673-4785.201304082]
Copy

Simulation of the crowd collective behavior based on curiosity

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 9 Number of periods: 2014 4 Page number: 413-418 Column: 学术论文—智能系统 Public date: 2014-08-25
Title:
Simulation of the crowd collective behavior based on curiosity
Author(s):
YIN Yanjun1; 2;  TANG Weiqing3
1. College of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China;
2. Computer and Information Engineering College, Inner Mongolia Normal University, Hohhot 010022, China;
3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
Keywords:
crowd gathering; curiosity; crowd behavior; emotion model
CLC:
TP391.9
DOI:
10.3969/j.issn.1673-4785.201304082
Abstract:
To thoroughly depict the influence of individual psychology on crowd collective behavior, a simulation model of the collective behavior of the crowd based on curiosity psychology is provided. The collective behavior of the crowd is driven by individual curiosity. The effects of the relevancy between the event content and the individual and that of the flow of people at the incident location on the scale of the crowd collective are analyzed by studying the crowd gathering behavior caused by small event happenings in daily life. The results of a large number of experiments, show that the higher the relevancy between an individual and the events, the easier the crowd gathering. In a crowded environment, the increase of the flow of people can increase the crowd size, rather than the gathering degree of the crowd. The test results confirm the research conclusion reached in the field of social psychology that the individual’s psychology influences the crowd gathering behavior.
References:
[1] 许尧, 刘亚丽. 群体性事件中的冲突升级及遏制机制研究[J].国家行政学院学报, 2011, 1: 17-21. XU Yao, LIU Yali. Study of escalation and restrain mechanism of mass incidents[J]. Journal of China National School of Administration, 2011, 1: 17-21.
[2] 常钦. 基于Agent的群体性事件动力学模型研究[J]. 中国人民公安大学学报:自然科学版, 2010, 4: 83-86.CHANG Qin. Research of dynamics model of mass incidents based on Agent[J]. Journal of Chinese People’s Public Security University: Science and Technology, 2010, 4: 83-86.
[3] 常钦, 党会森. 基于网格Agent的群体性事件人群聚集模型研究[J]. 中国人民公安大学学报:自然科学版, 2011, 69(3): 71-74.CHANG Qin, DANG Huisen. Research of crowds gathered model of mass incidents based on grid Agent[J]. Journal of Chinese People’s Public Security University: Science and Technology, 2011, 69(3): 71-74.
[4] EPSTEIN J M. Modeling civil violence: an agent-based computational approach[J]. Proceedings of the National Academy of Sciences of the United States of America, 2002, 99(Suppl 3): 7243-7250.
[5] 冯平耀, 王一伊. 对"无组织-无直接利益诉求"群体性事件的分析[J]. 中国人民公安大学学报:自然科学版, 2012, 1: 78-82.FENG Pingyao, WANG Yiyi. Analysis of mass incidents without organization and direct interests[J]. Journal of Chinese People’s Public Security University: Science and Technology, 2012, 1: 78-82.
[6] 魏玖长,韦玉芳,周磊.群体性突发事件中群体行为的演化态势研究[J]. 电子科技大学学报; 社科版, 2011, 13(6): 25-30.WEI Jiuchang, WEI Yufang, ZHOU Lei. Research on the evolvement trend of collective behavior in mass emergency[J]. Journal of UESTC: Social Sciences Edition, 2011, 13(6): 25-30.
[7] 胡芾.群体性事件的心理学研究[J]. 云南警官学院学报, 2009, 75(4): 88-91.HU Fu. Psychological research on group conflict[J]. Journal of Yunnan Police Officer Academy, 2009, 75(4): 88-91.
[8] 许春玉.好奇心理学[M].杭州:浙江教育出版社, 2008: 12-70.
[9] GRANOVETTER M. Threshold models of collective behavior[J]. American Journal of Sociology, 1978: 1420-1443.
[10] WANDER J. Clustering and fighting in two-party crowds: simulating the approach-avoidance conflict[J]. Journal of Artificial Societies and Social Simulation, 2001, 4(3): 1-18.
Similar References:

Memo

-

Last Update: 1900-01-01

Copyright © CAAI Transactions on Intelligent Systems