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New Technology of Library and Information Service  2014, Vol. 30 Issue (6): 71-78    DOI: 10.11925/infotech.1003-3513.2014.06.08
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The Research of Crowd Simulation in the Evolution Process of Web Public Opinion of Unexpected Event
Qiang Shaohua1,2, Wu Peng3
1. School of Economics and Management, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China;
2. College of Civil Engineering, Nanjing Tech University, Nanjing 211800, China;
3. School of Economics and Management, Nanjing University of Science &Technology, Nanjing 210094, China
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Abstract  

[Objective] Taking netizen crowd as the central of the research, the paper aims to discover the inner rule of the public opinion evolution in the unexpected event. [Methods] The study proposes the theory of crowd simulation which takes the individual as the agent to explain the behavior rule of crowd in a certain context and the inner mechanism of evolution of Web public opinion in unexpected events. [Results] Experimental results show that opinion leaders can reduce the evolution hours. And the government has a great impact on putting down the Web public opinion. [Limitations] The crowd simulation of Web public opinion in the unexpected event is fairly simple. Many more factors have not been taken into consideration. [Conclusions] This achievement can be used to forecast the evolution path of Web public opinion in the emergency management of unexpected event, and support the establishment of Web public opinion strategy and information disclosure strategy.

Key wordsUnexpected event      Web public opinion      Crowd simulation     
Received: 18 December 2013      Published: 09 July 2014
:  G206.3  

Cite this article:

Qiang Shaohua, Wu Peng. The Research of Crowd Simulation in the Evolution Process of Web Public Opinion of Unexpected Event. New Technology of Library and Information Service, 2014, 30(6): 71-78.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.06.08     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I6/71

[1] 中国互联网络信息中心. 第32次中国互联网络发展状况统计报告[R/OL]. [2013-07-17]. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201307/t20130717_40664.htm. (China Internet Network Information Center. The 32nd China Internet Network Development Statistics Report[R/OL]. [2013-07-17]. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201307/t20130717_40664.htm.)
[2] 毕宏音. 网络舆情形成与变动中的群体影响分析[J]. 天津大学学报: 社会科学版, 2007, 9(3): 270-273. (Bi Hongyin. Group Influence in the Formation and Change of Network Public Opinion[J]. Journal of Tianjin University: Social Sciences Edition, 2007, 9(3): 270-273.)
[3] 时国珍, 原碧霞. 突发事件网上演变规律与舆论引导[J]. 中国记者, 2010(5): 39-40. (Shi Guozhen, Yuan Bixia. The Evolution Law and Opinion Lead of Unexpected Event on Network[J]. China Jounalist, 2010(5): 39-40.)
[4] 方付建. 突发事件网络舆情演变研究[D]. 武汉: 华中科技大学, 2011. (Fang Fujian. Study on the Evolution of Public Opinion on Network of Unexpected Event [D]. Wuhan: Huazhong University of Science and Technology, 2011.)
[5] Sznajd-Weron K, Sznajd J. Opinion Evolution in Closed Community[J]. International Journal of Modern Physics C, 2000, 11(6): 1157-1165.
[6] Banerjee B, Kraemer L. Evaluation and Comparison of
Multi-agent Based Crowd Simulation Systems[A].//Agents for Games and Simulations II [M]. Berlin, Heidelberg: Springer-Verlag, 2011: 53-66.
[7] Stauffer D, de Oliveira P M C. Persistence of Opinion in the Sznajd Consensus Model: Computer Simulation[J]. The European Physical Journal B-Condensed Matter, 2002, 30(4): 587-592.
[8] 金苗. War 2.0: 重大事件新闻发布与社会化媒体的“初体验”——铸铅行动YouTube以军频道实证研究[J].国际新闻界, 2009(10): 96-102. (Jin Miao. War 2.0 in Military News Release and Social Media: A Case Study of Israeli Destruction Force's YouTube Channel in Operation Cast Lead [J]. Chinese Journal of Journalism & Communication, 2009(10): 96-102.)
[9] 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, 17(3): 71-74. (Chang Qin, Dang Huisen. The Research of Heterogeneous Assembling Model Based on Grid Agent[J]. Journal of the People's Public Security University: Science and Technology, 2011, 17(3): 71-74.)
[10] 杜蓉, 梁红霞. 公共危机事件中政府对网络舆论的引导仿真[J]. 情报杂志, 2011, 30(11): 61-66. (Du Rong, Liang Hongxia. Simulating Government's Guide Effect on Network Opinion of Public Crisis[J]. Journal of Intelligence, 2011, 30(11): 61-66.)
[11] 奥尔波特, 波斯特曼. 谣言心理学[M]. 刘水平, 梁元元, 黄鹂译. 沈阳: 辽宁教育出版社, 2003. (Allport G W, Postman L. Rumor Psychology [M]. Translated by Liu Shuiping, Liang Yuanyuan, Huang Li. Shenyang: Liaoning Education Press, 2003.)

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[2] Wu Peng, Yang Shuang, Zhang Jingjing, Gao Qingning. Agent-Based Modeling and Simulation of Evolution of Netizen Crowd Behavior in Unexpected Events Public Opinion[J]. 现代图书情报技术, 2015, 31(7-8): 65-72.
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