Influence of geometric correlations on epidemic spreading in multiplex networks

被引:5
|
作者
Fan, Dongmei [1 ,2 ]
Jiang, Guo-Ping [1 ]
Song, Yu-Rong [1 ]
Zhang, Xu [3 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Automat, Nanjing 210023, Jiangsu, Peoples R China
[2] Anhui Agr Univ, Sch Sci, Hefei 230036, Anhui, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Sch Comp, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Radial correlation; Angular correlation; Popularity and similarity optimization; Overlapped link;
D O I
10.1016/j.physa.2019.122028
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Real-world multiplex networks are not randomly connected by several single-layer networks. In fact, there exist significant geometric correlations among different layers. In this paper, the influence of the geometric correlations, including the radial correlation and the angular correlation, on epidemic spreading on multiplex networks is investigated. The results show that the radial correlation and/or the angular correlation can reduce the epidemic threshold and lead to smaller scale of outbreak on the artificial networks. Moreover, although geometric correlations and overlapped links are positively correlated, the influence of geometric correlations on epidemic spreading cannot be replaced by overlapped links. Simulations on a real-world multiplex network indicate that the geometric correlations can produce lower threshold and smaller scale of outbreak. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:8
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