Epidemic spreading on community networks with heterogeneity considering higher-order interactions

被引:0
|
作者
Ma, Jinlong [1 ]
Wang, Peng [1 ]
Lu, Zhijia [2 ]
机构
[1] Hebei Univ Sci & Technol, Sch Informat Sci & Engn, Shijiazhuang 050018, Peoples R China
[2] Shijiazhuang Univ, Mech & Elect Coll, Shijiazhuang 050035, Peoples R China
关键词
Community structure; heterogeneity; higher-order interaction; epidemic spreading; DYNAMICS;
D O I
10.1142/S0129183124501870
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Real networks often exhibit community structures, while community networks often have heterogeneity. Group interactions beyond pairwise interactions can adequately characterize the high-order features in the propagation process. In this paper, we construct a community network with heterogeneity which can reflect the heterogeneity among communities. According to the proposed model, high-order interactions are introduced to study the impact of heterogeneity among communities and higher-order interactions on epidemic dynamics. It is shown that heterogeneity among communities and high-order interactions will have an impact on the propagation speed, propagation threshold and final propagation scale.
引用
收藏
页数:17
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