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山东大学学报(理学版) ›› 2017, Vol. 52 ›› Issue (6): 99-104.doi: 10.6040/j.issn.1671-9352.2.2016.165

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考虑好奇心理机制的动态复杂网络谣言传播研究

王亚奇,王静*   

  1. 武警工程大学电子技术系, 陕西 西安 710086
  • 收稿日期:2016-08-18 出版日期:2017-06-20 发布日期:2017-06-21
  • 通讯作者: 王静(1982— ),女,讲师,博士,研究方向为网络与信息安全. E-mail: jing9823@163.com E-mail:wjwangyq@126.com
  • 作者简介:王亚奇(1982— ),男,讲师,博士,研究方向为网络与信息安全. E-mail: wjwangyq@126.com
  • 基金资助:
    国家自然科学基金资助项目(61402531);陕西省自然科学基础研究计划项目(2014JQ8358,2015JQ6231,2014JQ8307);武警工程大学基础研究基金项目(WJY201419,WJY201605,JLX201686)

Rumor spreading on dynamic complex networks with curious psychological mechanism

WANG Ya-qi, WANG Jing*   

  1. Department of Electronic Technology, Engineering College of the Chinese Armed Police Force, Xian 710086, Shaanxi, China
  • Received:2016-08-18 Online:2017-06-20 Published:2017-06-21

摘要: 考虑好奇心理机制的影响,提出一种动态复杂网络演化模型,基于数值仿真研究谣言的传播动力学行为。研究表明,好奇心理机制的存在降低了网络的传播临界值,增大了谣言的传播速率以及最终的传播程度。研究还发现,动态连接概率对谣言传播机理产生了较大影响,而附加感染率产生的影响可以忽略不计。此外,在好奇心理机制的作用下,谣言在网络中的传播时间明显缩短,同时给出有效防控谣言传播的合理化建议。

关键词: 复杂网络, 谣言传播, 好奇心理机制, 传播临界值

Abstract: Considering the influence of curious psychological mechanism,this paper proposes a dynamic complex network evolution model. Based on this model, the dynamical behaviors of rumor spreading are investigated by using the numerical simulations. The research shows that the existence of the curious psychological mechanism reduces the propagation critical thresholds of the networks, increases the spreading velocity and the final propagation extent of rumors. It is also found that the dynamic connection probability has a great influence on the propagation mechanism of rumors, but the effect of the additional infection rate is negligible. In addition, under the influence of the curious psychological mechanism, the rumor spreading time on the networks is obviously shortened, and the reasonable suggestions for effective prevention and control of rumor spreading are given.

Key words: complexnetwork, rumorspreading, curious psychological mechanism, propagation critical threshold

中图分类号: 

  • TP393
[1] BHAVNANI R, FINDLEY M G, KUKLINSKI J H. Rumor dynamics in ethnic violence[J]. The Journal of Politics, 2009, 71(3): 876-892.
[2] GALAM S. Modeling rumors: the no plane pentagon French hoax case[J]. Physica A, 2003, 320(15): 571-580.
[3] KNAPP P H. A psychology of rumors[J]. Public Opinion Quarter, 1994, 8(1): 22-37.
[4] SUDBURY A. The proportion of population never hearing a rumour[J]. Journal of applied probability, 1985, 22(2): 443-446.
[5] DOROGOVTSEV S N, GOLTSEV A V, MENDES J F F. Critical phenomena in complex networks[J]. Reviews of Modern Physics, 2008, 80(4): 1275-1335.
[6] PASTOR-SATORRAS R, VESPIGNANI A. Epidemic dynamics and endemic states in complex networks[J]. Physical Review E, 2001, 63(6): 066117.
[7] 王亚奇,蒋国平.考虑网络流量的无标度网络病毒免疫策略研究[J]. 物理学报,2011, 60(6): 060202.1-060202.8. WANG Yaqi, JIANG Guoping. Epidemic immunization on scale-free networks with traffic flow[J]. Acta Physica Sinica, 2011, 60(6): 060202.1-060202.8.
[8] LIU C, ZHANG Z K. Information spreading on dynamic social networks[J]. Communications in Nonlinear Science and Numerical Simulation, 2014, 19(4): 896-904.
[9] KAWACHI K, SEKI M, YOSHIDA H, et al. A rumor transmission model with various contact interactions[J]. Journal of Theoretical Biology, 2008, 253(1): 55-60.
[10] ZANETTE D H. Dynamics of rumor propagation on small-world networks[J]. Physical Review E, 2002, 65(4): 041908.
[11] WANG J, WANG Y Q. SIR rumor spreading model with network medium in complex social networks[J]. Chinese Journal of Physics, 2015, 53(1): 1-21.
[12] CLEMENTI, A, CRESCENZI P, DOERR C, et al. Rumor spreading in random evolving graphs[J]. Lecture Notes in Computer Science, 2013, 8125: 325-336.
[13] ZHAO Z J, LIU Y M, WANG K X. An analysis of rumor propagation based on propagation force[J]. Physica A, 2016, 443: 263-271.
[14] JIE R L, QIAO J, XU G J, et al. A study on the interaction between two rumors in homogeneous complex networks under symmetric conditions[J]. Physica A, 2016, 454: 129-142.
[15] LUO W, TAY W P, LENG M. Infection spreading and source identification: a hide and seek game[J]. arXiv preprint arXiv:1504.04796, 2015.
[16] CHEN P, GAO N. The simulation of rumors spreading and controlling in micro-blog users network[J]. Journal of Software Engineering and Applications, 2013, 6: 102-105.
[17] ZHAO L, WANG J, HUANG R. Immunization against the spread of rumors in homogenous networks[J]. PLoS One, 2015, 10(5): e0124978.
[18] WANG Y Q, YANG X Y, HAN Y L, et al. Rumor spreading model with trust mechanism in complex social networks[J]. Communications in Theoretical Physics, 2013, 59(4): 510-516.
[19] ZHAO L, WANG J, CHEN Y, et al. SIHR rumor spreading model in social networks[J]. Physica A, 2012, 391(7): 2444-2453.
[20] WANG Xiaoli, ZHAO Laijun. Rumor spreading model with skepticism mechanism in social networks[J]. J University of Shanghai for Science and Technology, 2012, 34(5): 424-428.
[21] XIA L L, JIANG G P, SONG B, et al. Rumor spreading model considering hesitating mechanism in complex social networks[J]. Physica A, 2015, 437: 295-303.
[22] WATTS D J, STROGATZ S H. Collective dynamics of ‘small-world’ networks[J]. Nature, 1998, 393(6684): 440-442.
[23] BARABÁSI A L, ALBERT R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439):509-512.
[24] 王亚奇, 蒋国平. 复杂网络中考虑不完全免疫的病毒传播研究[J]. 物理学报, 2010, 59(10): 6733-6743. WANG Yaqi, JIANG Guoping. Virus spreading on complex networks with imperfect immunization[J]. Acta Physica Sinica, 2010, 59(10): 6733-6743.
[25] NEKOVEE M, MORENO Y, BIANCONI G. Theory of rumour spreading in complex social networks[J]. Physica A, 2007, 374: 457-470.
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