Contagion processes on time-varying networks with homophily-driven group interactions
type: Item
instance of: scholarly article
title: Contagion processes on time-varying networks with homophily-driven group interactions
zbMATH Open document ID: 1429.91259
DOI: 10.1155/2019/7130468
author: Li Ding
author: Ping Hu
published in: Complexity
publication date: 2019-11-25T00:00:00Z
review text: Summary: The complicated interaction patterns among heterogeneous individuals have a profound impact on the contagion process in the networks. In recent years, there has been increasing evidence for the emergence of many-body interactions between two or more nodes in a wide range of biological and social networks. To encode these multinode interactions explicitly, the simplicial complex is now a popular alternative to simple networks. Meanwhile, the time-varying network has been acknowledged as a key ingredient of the contagion process. In this paper, we consider the connectivity pattern of networks affected by the homophily effect associated with individual attributes and investigate the impact of homophily-driven group interactions on the contagion process in temporal networks. The simplicial complex modeling framework is adopted to capture stochastic interactions between passively selected nodes in the paradigm of activity-driven networks. We study the evolution of infection and the epidemic threshold of the contagion process by both analytical and numerical methods. Our results on statistical topological properties of instantaneous network may shed light on accurately characterizing the evolution curve of infection. Furthermore, we show the impact of the homophily-driven interaction pattern on the epidemic threshold, which generalizes the existing results on both the paradigmatic activity-driven network and the simplicial activity-driven network.
Mathematics Subject Classification ID: 91D30
zbMATH DE Number: 7136335
describes a project that uses: CliqueTop
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2019/7130468
OpenAlex ID: W2982395253
cites work: Dynamical analysis of rumor spreading model considering node activity in complex networks
cites work: Individual-based optimal weight adaptation for heterogeneous epidemic spreading networks
cites work: Model of community emergence in weighted social networks
cites work: Clique topology reveals intrinsic geometric structure in neural correlations
cites work: Consensus formation on a simplicial complex of opinions
cites work: Suppression of epidemic spreading in time-varying multiplex networks
description: scientific article; zbMATH DE number 7136335