Simulation and Modeling of Non-rational Game Based Public Opinion Spread
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摘要: 随着社交网络的不断发展,借助社交网络进行传播的舆情信息的威胁越来越大. 本文利用博弈论的方法研究了舆情信息的传播机制,从理性博弈和非理性博弈的角度出发对个体与邻居的交互行为进行建模. 随后以目前较为成熟的传染病模型为基础,通过引入传播学中的社会威慑因素来构建基于非理性博弈的舆情传播模型,以实现适应舆情传播研究的仿真系统,继而将基于非理性博弈的舆情传播模型在无标度网络和小世界网络上的动力学特征进行理论分析. 在仿真环境中对非理性博弈的舆情传播模型进行实验,分析模型参数、网络密度和舆情传播源对舆情传播的影响,其结果符合理论分析结果. 最后对无标度网络上舆情传播的控制策略进行了研究,包括:社会威慑方法、目标免疫方法和正面消息方法,为社交网络上的政策制定提供了理论基础.Abstract: With the continuous development of social networks, the threat of public opinions which spread on the social networks is growing accordingly. This paper studies the dissemination mechanism of public opinion based on the method of game theory, and builds a game model of agent interaction with neighbors form the view of rational and non-rational games. Then on the basis of the mature epidemic model, we implement a simulation system. The system can adapt to the research of public opinion spread by proposing a public opinion spread model based on non-rational game, and analyze the dynamics characteristic of the public opinion spread model based on non-rational game theoretically in scale-free networks and small-world networks. In the simulation environment, we experiment on the public opinion spread model based on non-rational game to analyze model parameters, network density. The infectious source's affection on spreading. The experimental results agree with the theoretic analysis. Finally, a control strategy of the spreading on scale-free network, which includes social deterrence methods, target immune methods, and positive messages method, is studied to provide a the theoretical basis for policy-making on social networks.
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Key words:
- Game theory /
- non-rational /
- public opinion spread /
- public opinion control /
- simulation
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[1] Sznajd W K, Sznajd J. Opinion evolution in closed community. International Journal of Modern Physics C, 2000, 11(6): 1157-1165 [2] [2] Deffuant G, Neau D, Amblard F, Weisbuch G. Mixing beliefs among interacting agents. Advances in Complex Systems, 2000, 3(01n04): 87-98 [3] [3] Gruhl D, Guha R, Liben-Nowell D, Tomkins A. Information diffusion through blogspace. In: Proceedings of the 13th international conference on World Wide Web. New York: ACM, 2004. 491-501 [4] [4] Kempe D, Kleinberg J, Tardos . Maximizing the spread of influence through a social network. In: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2003. 137-146 [5] [5] Zanette D H. Dynamics of rumor propagation on small-world networks. Physical Review E, 2002, 65(4): 041908 [6] [6] Moreno Y, Nekovee M, Pacheco A F. Dynamics of rumor spreading in complex networks. Physical Review E, 2004, 69(6): 066130 [7] [7] Guo Dong-Wei, Chen Jing, Zou Yun, Li Bing. Evolutionary characteristics of public opinion spread in social networks. In: Proceedings of the 3rd International Conference on Computer and Computational Intelligence. Bali, Indonesia. 2012 [8] [8] Han S C, Liu Y, Zhang Y C, Cheng H. Herd instinct of opinion based on dynamic evolutionary game theory. Journal of Systems Engineering, 2011, 26(2): 275-281 [9] [9] Zinoviev D, Duong V, Zhang H. A game theoretical approach to modeling information dissemination in social networks. In: Proceedings of the 14th World Multi-Conference on Systemics, Cybernetics and Informatics. Orlando, USA: IEEE, 2010. 1: 407-412 [10] Bai Yin. The dyanmic spread analysis of network rumors. Journalism Communication, 2010, (5): 91-96 (白寅. 网络流言传播的动力学机制分析. 新闻与传播研究, 2010, (5): 91-96) [11] Zhu Xiao-Yu. The communication analysis of microblogging rumors. Practical Journalism, 2013, (4): 26-28 (朱小雨. 微博流言的传播学分析. 新闻实践, 2013, (4): 26-28) [12] Dan Song-Tao. The psychoanalysis of network rumor spread. Journalism Communication, 2012, (4): 252-253 (单松涛. 网络流言传播的心理分析. 新闻传播, 2012, (4): 252-253) [13] Gong Ji-Ping. The game theory method of journalism and communication studies. Journalism Lover, 2009, 23(12): 9-10 (龚际平. 新闻传播学研究的博弈论方法. 新闻爱好者, 2009, 23(12): 9-10) [14] Camerer C. Behavioral Game Theory: Experiments in Strategic Interaction. New York: Princeton University Press, 2003 [15] Fehr E, Tyran J R. Limited rationality and strategic interaction: the impact of the strategic environment on nominal inertia. Econometrica, 2008, 76(2): 353-394 [16] Wolpert D, Jamison J, Newth D, Harre M. Strategic choice of preferences: the persona model. The BE Journal of Theoretical Economics, 2011, 11(1), doi: 10.2202/1935-1704.1593 [17] Ortega P A, Braun D A. Thermodynamics as a theory of decision-making with information processing costs. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science, 2013, 469(2153), DOI: 10.1098/rspa.2012.0683 [18] Scott J. Social network analysis. Sociology, 1988, 22(1): 109-127 [19] Newman M E J, Watts D J. Renormalization group analysis of the small-world network model. Physics Letters A, 1999, 263(4): 341-346 [20] Barab [21] si A L, Albert R. Emergence of scaling in random networks. Science, 1999, 286(5439): 509-512 [22] Ramani A, Carstea A S, Willox R, Grammaticos B. Oscillating epidemics: a discrete-time model. Physica A: Statistical Mechanics and its Applications, 2004, 333: 278-292 [23] Pastor-Satorras R, Vespignani A. Epidemics and immunization in scale-free networks. Handbook of Graphs and Networks: from the Genome to the Internet, 2005: 111-130 [24] Meier R F, Johnson W T. Deterrence as social control: the legal and extralegal production of conformity. American Sociological Review, 1977, 42(2): 292-304 [25] Anderson R M, May R M, Anderson B. Infectious Diseases of Humans: Dynamics and Control. Oxford: Oxford University Press, 1992 [26] Pastor-Satorras R, Vespignani A. Immunization of complex networks. Physical Review E, 2002, 65(3): 036104 [27] Cohen R, Havlin S, Ben-Avraham D. Efficient immunization strategies for computer networks and populations. Physical Review Letters, 2003, 91(24): 247901 [28] Madar N, Kalisky T, Cohen R, ben-Avraham D, Havlin S. Immunization and epidemic dynamics in complex networks. The European Physical Journal B-Condensed Matter and Complex Systems, 2004, 38(2): 269-276
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