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双层网络上的社会传播

  • 李小林 ,
  • 许润杰 ,
  • 娄洁 ,
  • 许新建 ,
  • 李小林 ,
  • 许润杰 ,
  • 娄洁 ,
  • 许新建
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  • 上海大学数学系,上海 200444
李小林(1979-),女,山东烟台人,博士,讲师,主要研究方向为多主体系统。

收稿日期: 2019-07-13

  网络出版日期: 2020-01-21

基金资助

国家自然科学基金(11771277);上海市自然科学基金(17ZR1445100)

Social Contagions on Duplex Networks

  • LI Xiaolin ,
  • XU Runjie ,
  • Lou Jie ,
  • XU Xinjian ,
  • LI Xiaolin ,
  • XU Runjie ,
  • Lou Jie ,
  • XU Xinjian
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  • Department of Mathematics, Shanghai University, Shanghai 200444, China

Received date: 2019-07-13

  Online published: 2020-01-21

摘要

双层网络上的社会传播是当前复杂性研究的热点之一。然而已有研究相对简单,无论线下网络还是线上网络往往采用均匀分布,而经验分析表明线上网络大都是非均匀的。基于这一点,本文研究了线下均匀线上非均匀双层网络上的阈值模型,重点考察了两层网络之间的耦合关系对系统鲁棒性的影响。与完全不相关耦合相比,完全正相关耦合在低连通区域削弱了系统的鲁棒性而在高连通区域增强了系统的鲁棒性,完全负相关耦合则起着相反的作用。与均匀网络相比,非均匀网络上的传播受到耦合相关性的影响更大。

本文引用格式

李小林 , 许润杰 , 娄洁 , 许新建 , 李小林 , 许润杰 , 娄洁 , 许新建 . 双层网络上的社会传播[J]. 复杂系统与复杂性科学, 2019 , 16(4) : 13 -18 . DOI: 10.13306/j.1672-3813.2019.04.002

Abstract

The rising of online networks have provided a new ecosystem of individual interactions. Of particular interest are social contagions on duplex networks. Previous studies assume that each network is homogeneous, however, empirical analysis shows that nearly the online networks are heterogeneous. Motivated by this, we studied the threshold model on duplex networks with different online-offline coupling. Compared with uncorrelated coupling, the maximum positive coupling weakens systematic robustness for the sparse network, while enhances the robustness for the dense network. The maximum negative coupling, however, plays an opposite role. These effects are strengthened when the online network is heterogeneous.

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