重大生产安全事故的网络舆情传播分析及其政策建议——以“8·12天津港爆炸事故”为例

›› 2016, Vol. 28 ›› Issue (3): 221-229.

重大生产安全事故的网络舆情传播分析及其政策建议——以“8·12天津港爆炸事故”为例

刘怡君¹, 陈思佳^1,2, 黄远^1,2, 马宁¹, 王光辉¹, 牛文元¹

1. 中国科学院科技政策与管理科学研究所社会治理与风险研究中心, 北京 100190;
2. 中国科学院大学, 北京 100190

收稿日期:2015-12-24 出版日期:2016-03-28 发布日期:2016-03-31
作者简介:刘怡君,中国科学院科技政策与管理科学研究所研究员,硕士生导师;陈思佳,中国科学院大学硕士研究生;黄远,中国科学院大学博士研究生;马宁,中国科学院科技政策与管理科学研究所助理研究员;王光辉,中国科学院科技政策与管理科学研究所助理研究员;牛文元,中国科学院科技政策与管理科学研究所研究员,博士生导师。
基金资助:
国家自然科学基金项目(71573247;71503246;91024010;91324009);中国科学院青年创新促进会项目(2014139)。

The Analysis and Policy Recommendations on the Spread of Network Public Opinion in Major Production Safety Accidents——A Case Study of the 8·12 Tianjin Port Explosion

Liu Yijun¹, Chen Sijia^1,2, Huang Yuan^1,2, Ma Ning¹, Wang Guanghui¹, Niu Wenyuan¹

1. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190;
2. University of Chinese Academy of Sciences, Beijing 100190

Received:2015-12-24 Online:2016-03-28 Published:2016-03-31

摘要/Abstract

摘要：

"8·12天津港爆炸"属于生产安全类中特别重大事故,党中央和国务院高度重视。事故发生后,应急处置工作稳步推进,而与此同时,互联网上的舆情阵地却快速陷落,成为"8·12天津港爆炸"事故的重要次生灾害。因此,本文以"8·12"事故引发的网络舆情为分析对象,基于该舆情传播的几大特征,建立集主体、信息、心理、观点四种要素的多层多属性舆情传播模型,应用仿真工具进行多情景分析,全面获取此类重大突发事件的舆情形成及演化规律,据此提出重大生产安全事故类突发事件的舆情处置建议。

关键词: 网络舆情, 多层多属性舆情传播模型, 仿真建模, 政策建议

Abstract:

The 8·12 Tianjin Port Explosion is an extremely serious accident belonging to the category of production safety, In addition, it has been paid great attention by the Party Central Committee and the State Council. After the occurrence of this accident, the emergency disposal was steadily progressing. However, in the meantime, network opinions focusing on this event got out of control rapidly, which had been one of the primary secondary disasters of the Tianjin Port Explosion. Therefore, this paper sets the network opinion caused by the 8·12 Tianjin Port Explosion as the analysis object, and based on some main characteristics of this network public opinion spread, builds a multilayer and multi-attribute model of public opinion spread which contains agent, information, psychology, opinion property, then applies simulation tool for scenario analysis, which aims to comprehensively obtain the opinion public formation and evolution rule of this kind of major emergency accidents, Finally, proposes some disposal recommendations of public opinion in major accident belonging to the category of production safety.

Key words: network public opinion, multilayer and multi-attribute model of public opinion spread, simulation modeling, policy recommendations

刘怡君, 陈思佳, 黄远, 马宁, 王光辉, 牛文元. 重大生产安全事故的网络舆情传播分析及其政策建议——以“8·12天津港爆炸事故”为例[J]. , 2016, 28(3): 221-229.

Liu Yijun, Chen Sijia, Huang Yuan, Ma Ning, Wang Guanghui, Niu Wenyuan. The Analysis and Policy Recommendations on the Spread of Network Public Opinion in Major Production Safety Accidents——A Case Study of the 8·12 Tianjin Port Explosion[J]. , 2016, 28(3): 221-229.

参考文献

[1] Anderson D. R. 著,张建华,等译. 商务与经济统计(原书第9版)[M]. 北京:机械工业出版社, 2006
[2] Borgatti S. P. What Is Social Network Analysis?[OL/DB]. http://www.analytictech.com/networks/whatis.htm.
[3] Moore C., Newman M. E. J. Epidemics and Percolation in Small——World Networks[J]. Physical Review E., 2000,61(5):5678-5682
[4] Sznajd-Weron K., Sznajd J. Opinion Evolution in Closed Community[J]. International Journal of Modern Physics C, 2000,11(6):1157-1165
[5] Alves S. G., Neto N. M. O., Martins M. L. Electoral Surveys Influence on the Voting Processes:A Cellular Automata Model[J]. Physica A:Statistical Mechanics & Its Applications, 2002,316(2):601-614
[6] Galam S. Minority Opinion Spreading in Random Geometry[J]. Physics of Condensed Matter, 2002,25(4):403-406
[7] Deffuant G., Neau D., Amblard F., et al. Mixing Beliefs Among Interacting Agents[J]. Advances in Complex Systems, 2000,3(01n04):87-98
[8] 刘怡君.基于多主体的舆情建模与仿真研究[J]. 上海理工大学学报, 2011,33(2):331-336
[9] 刘怡君,李倩倩,田儒雅,马宁.基于超网络的社会舆论形成及应用研究[J]. 中国科学院院刊, 2012,27(5):560-568
[10] 李倩倩,刘怡君.基于超网络的社会舆论演化及应用研究[J]. 中国科学院院刊, 2012,27(5):569-577
[11] Forrester J. W. System Dynamics, Systems Thinking, and Soft OR[J]. System Dynamics Review, 1994,10(2):245-256
[12] 张立超,刘怡君.社会谣言传播动力学分析[J]. 中国科学院院刊, 2015,30(1):71-81
[13] Duda R. O., Hart P. E., Stork D. G. Pattern Classification[M]. New York:John Wiley, 2001
[14] 马宁,刘怡君.基于超网络的社会领袖识别应用研究[J]. 中国科学院院刊, 2012,27(5):586-594
[15] 田儒雅,刘怡君.基于超网络的社会舆论干预及应用研究[J]. 中国科学院院刊, 2012,27(5):578-585
[16] Tian R. Y., Liu Y. J. Isolation, Insertion, and Reconstruction:Three Strategies to Intervene in Rumor Spread Based on Supernetwork Model[J]. Decision Support Systems, 2014,67(2):121-130