小世界网络中的合作行为传染仿真研究

doi:10.16182/j.issn1004731x.joss.201710012

摘要/Abstract

摘要： 在小世界网络结构中,构建了基于“同质化聚集、传染二度关系距离、影响力悖论、行为传染衰减特质”等行为规则的合作行为传染模型,利用Netlogo平台进行了仿真运行和分析。结果发现：合作行为具有“滞后性、涌现性和渐进性”的传染特征,网络平均路径长度制约着合作行为传染的发生和完成,网络结构中的强连接关系易引发合作行为的传染,网络结构的节点度分布水平显著影响着合作行为传染的耗时周期。研究结论对于提升小群体合作绩效有着指导价值,可调整及搭建成员间关系连接,缩短平均关系路径,强化关键节点间关系连接强度,培育内部合作行为的涌现,增进系统合作特质。

关键词: 行为传染, 小世界网络, 合作行为, 仿真模型

Abstract: Under small world network structure, this research constructed a contagion model of cooperative behavior based on behavioral characteristics such as homogeneity gathering, two degrees of separation, influence paradox, attenuation nature, etc. and used Netlogo platform to run the simulation. The results indicate the contagion of cooperative behavior has hysteresis, emergent and progressive properties; the average path length constrains the contagion completion; the strong ties are prone to spread cooperative behavior; the distribution level of node degree of network significantly impacts the contagion time. The discoveries afford guidance for enhancing cooperation performance in small groups, by adjusting relationship links among members, shortening average path, strengthening critical relationship ties, and fostering the cooperative behavior emergence and the systematic cooperative characteristics.

Key words: behavior contagion, small world network, cooperative behavior, simulation model

中图分类号:

TP391

王世龙. 小世界网络中的合作行为传染仿真研究[J]. 系统仿真学报, 2017, 29(10): 2316-2322.

Wang Shilong. Simulation of Cooperative Behavior Contagion in Small World Network[J]. Journal of System Simulation, 2017, 29(10): 2316-2322.

参考文献

[1] Apicella Coren L, Frank W Marlowe, James H Fowler, et al.Social networks and cooperation in hunter-gatherers[J]. Nature (S0028-0836), 2012, 481(7382): 497-501.
[2] Bond Robert M, Christopher J Fariss, Jason J Jones, et al.A 61-million-person experiment in social influence and political mobilization[J]. Nature (S0028-0836), 2012, 489(7415): 295-298.
[3] Christakis, Nicholas A, James H Fowler. The collective dynamics of smoking in a large social network[J]. New England Journal of Medicine (S0028-4793), 2008, 358(21): 2249-2258.
[4] Centola Damon.The spread of behavior in an online social network experiment[J]. Science (S0036-8075), 2010, 329(5996): 1194-1197.
[5] McDermott Rose, James H Fowler, Nicholas A Christakis. Breaking up is hard to do, unless everyone else is doing it too: Social network effects on divorce in a longitudinal sample[J]. Social Forces (S0037-7732), 2009, 92(2): 491-519.
[6] Tsvetkova Milena, Michael W Macy.The social contagion of generosity[J]. PloS One (S1932-6203), 2014, 9(2): e87275.
[7] Nicholas A Christakis, James H Fowler.Connected: The surprising power of our social networks and how they shape our lives[M]. New York, USA: Little, Brown, 2009: 26-30.
[8] Aral Sinan, Dylan Walker.Identifying influential and susceptible members of social networks[J]. Science (S0036-8075), 2012, 337(6092): 337-341.
[9] Centola Damon, Michael Macy.Complex contagions and the weakness of long ties[J]. American Journal of Sociology (S0002-9602), 2007, 113(3): 702-734.
[10] Steven H Strogatz.Exploring complex networks[J]. Nature (S0028-0836), 2001, 410(6825): 268-276.
[11] Centola Damon.An experimental study of homophily in the adoption of health behavior[J]. Science (S0036-8075), 2011, 334(6060): 1269-1272.
[12] Nicholas A Christakis, James H Fowler.The spread of obesity in a large social network over 32 years[J]. New England Journal of Medicine (S0028-4793), 2007, 357(4): 370-379
[13] Rosenquist J Niels, Joanne Murabito, James H Fowler, et al.The spread of alcohol consumption behavior in a large social network[J]. Annals of Internal Medicine (S0003-4819), 2010, 152(7): 426-433.
[14] Granovetter Mark S.The Strength of Weak Ties[J]. American Journal of Sociology (S0002-9602), 1973, 78(6): 1360-1380.
[15] Klein Michel C, Nataliya Mogles, Jan Treur, et al.Contagion of habitual behaviour in social networks: an agent-based model[C]// Privacy, Security, Risk and Trust, 2012 International Conference on and 2012 International Conference on Social Computing (SocialCom), IEEE. USA: IEEE, 2012: 538-545.
[16] Gonzalez-Pardo Antonio, Raul Cajias, David Camacho.An agent based simulation of christakis-fowler social model. In Recent Developments in Computational Collective Intelligence [M]. Germany: Springer International Publishing, 2014: 69-77.
[17] Tisue Seth, Uri Wilensky.Netlogo: A simple environment for modeling complexity[C]// International Conference on Complex Systems. USA: Marriott Boston Quincy, 2004: 16-21.