期刊文献+

Opinion Dynamics on Complex Networks with Communities 被引量:6

Opinion Dynamics on Complex Networks with Communities
下载PDF
导出
摘要 The Ising or Potts models of ferromagnetism have been widely used to describe locally interacting social or economic systems. We consider a related model, introduced by Sznajd to describe the evolution of consensus in the scale-free networks with the tunable strength (noted by Q) of community structure. In the Sznajd model, the opinion or state of any spins can only be changed by the influence of neighbouring pairs of similar connection spins. Such pairs can polarize their neighbours. Using asynchronous updating, it is found that the smaller the community strength Q, the larger the slope of the exponential relaxation time distribution. Then the effect of the initial upspin concentration p as a function of the final all up probability E is investigated by taking different initialization strategies, the random node-chosen initialization strategy has no difference under different community strengths, while the strategies of community node-chosen initialization and hub node-chosen initialization are different in fina/probability under different Q, and the latter one is more effective in reaching final state. The Ising or Potts models of ferromagnetism have been widely used to describe locally interacting social or economic systems. We consider a related model, introduced by Sznajd to describe the evolution of consensus in the scale-free networks with the tunable strength (noted by Q) of community structure. In the Sznajd model, the opinion or state of any spins can only be changed by the influence of neighbouring pairs of similar connection spins. Such pairs can polarize their neighbours. Using asynchronous updating, it is found that the smaller the community strength Q, the larger the slope of the exponential relaxation time distribution. Then the effect of the initial upspin concentration p as a function of the final all up probability E is investigated by taking different initialization strategies, the random node-chosen initialization strategy has no difference under different community strengths, while the strategies of community node-chosen initialization and hub node-chosen initialization are different in fina/probability under different Q, and the latter one is more effective in reaching final state.
出处 《Chinese Physics Letters》 SCIE CAS CSCD 2008年第4期1502-1505,共4页 中国物理快报(英文版)
基金 Supported by the National Natural Science Foundations of China under Grant Nos 70571027, 70401020,10647125 and 10635020, and the Ministry of Education of China under Grant No 306022.
关键词 supernova explosion proto-neutron star shock wave supernova explosion, proto-neutron star, shock wave
  • 相关文献

参考文献47

  • 1Axelrod R 1997 The complexity of Cooperation (Princeton: Princeton University Press) 被引量:1
  • 2Chang Y F and Cai X 2007 Chin. Phys. Lett. 24 2430 被引量:1
  • 3Krapivsky P L and Redner S 2003 Phys. Rev. Lett. 90 238701 被引量:1
  • 4Chen P and Redner S 2005 Phys. Rev. E 71 036101 被引量:1
  • 5Galam S 2004 Physica A 333 453 被引量:1
  • 6Schwammle V, Gonzalez M C, Moreira A A, Andrade J S and Herrmann H J 2007 Phys. Rev. E 75 066108 被引量:1
  • 7Vartolozzi M, Leinweber D B and Thomas A W 2005 Phys. Rev. E 72 046113 被引量:1
  • 8Hegselmann R and Krause U 2002 J. Art. Soc. Social Simul. 5 3 被引量:1
  • 9Deffuant G, Neau D, Amblard F, Weisbuch G 2000 Adv. Complex Systems 3 87 被引量:1
  • 10Kenah E and Robins J M 2007 Phys. Rev. E 76 036113 被引量:1

同被引文献70

  • 1刘常昱,胡晓峰,司光亚,罗批.基于小世界网络的舆论传播模型研究[J].系统仿真学报,2006,18(12):3608-3610. 被引量:80
  • 2Girvan M, Newman M E J. Community Structure in Social and Biological Networks [J]. Proceedings of the National Academy of Sciences, 2002, 99(12): 7821-7826. 被引量:1
  • 3Porter M A, Mucha P J, Newman M E J, Friend A J. Community Structure in the United States House of Representatives [J]. Physiea A, 2007, 386: 414-438. 被引量:1
  • 4Redner S. How Popular is Your Paper? An Empirical Study of the Citation on Distribution [J]. The European Physical Journal 13, 1998, 4: 131-134. 被引量:1
  • 5Wilkinson D, Huberman B A. A Method for Finding Communities of Related Genes [J]. Proceedings of the National Academy of Sciences, 2004, 101: 5241-5248. 被引量:1
  • 6Watts D J, Strogatz S H. Collective Dynamics of Small-World Networks [J]. Nature, 1998, 393: 440-442. 被引量:1
  • 7Barabhsi A L, Albert R. Emergence of Scaling in Random Networks [J]. Science, 1999, 286: 509-512. 被引量:1
  • 8Newman M E J. The Structure and Function of Complex Networks [J]. SIAM Review, 2003, 45(2): 167-256. 被引量:1
  • 9Lambiotte R, Ausloos M, Hotyst J A. Majority Model on a Network with Communities [J]. Physical Review E, 2007, 75(3): 030101. 被引量:1
  • 10Lambiotte R, Ausloos M. Coexistence of Opposite Opinions in a Network with Communities [J]. Journal of Statistical Mechanics: Theory and Experiment, 2008, P08026. 被引量:1

引证文献6

二级引证文献33

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部