Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure
Population demography can change the network structure, which further plays an important role in the spreading of infectious disease. In this paper, we study the epidemic dynamics in temporal clustered networks where the local-world structure and clustering are incorporated into the attachment mecha...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2023-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2023/4591403 |
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author | Wenjun Jing Juping Zhang Xiaoqin Zhang |
author_facet | Wenjun Jing Juping Zhang Xiaoqin Zhang |
author_sort | Wenjun Jing |
collection | DOAJ |
description | Population demography can change the network structure, which further plays an important role in the spreading of infectious disease. In this paper, we study the epidemic dynamics in temporal clustered networks where the local-world structure and clustering are incorporated into the attachment mechanism of new nodes. It is found that increasing the local-world size of new nodes has little influence on the clustering coefficient but increases the degree heterogeneity of networks. Besides, when the network evolves faster, increasing the local-world size of new nodes leads to a faster initial growth rate and a larger steady density of infectious nodes, while it has small impacts on the steady density of infectious disease when the network evolves slowly. Furthermore, if the average degree is fixed, increasing the probability of triad formation p enlarges the clustering coefficient of a network, which reduces the initial growth rate and steady density of infectious nodes in the network. This work could provide a theoretical foundation for the control of infectious disease. |
first_indexed | 2024-04-10T15:38:12Z |
format | Article |
id | doaj.art-d5dab6cd7cca4339b2737987d55c2d9e |
institution | Directory Open Access Journal |
issn | 1099-0526 |
language | English |
last_indexed | 2024-04-10T15:38:12Z |
publishDate | 2023-01-01 |
publisher | Hindawi-Wiley |
record_format | Article |
series | Complexity |
spelling | doaj.art-d5dab6cd7cca4339b2737987d55c2d9e2023-02-13T01:08:24ZengHindawi-WileyComplexity1099-05262023-01-01202310.1155/2023/4591403Epidemic Dynamics in Temporal Clustered Networks with Local-World StructureWenjun Jing0Juping Zhang1Xiaoqin Zhang2School of StatisticsComplex Systems Research CenterSchool of StatisticsPopulation demography can change the network structure, which further plays an important role in the spreading of infectious disease. In this paper, we study the epidemic dynamics in temporal clustered networks where the local-world structure and clustering are incorporated into the attachment mechanism of new nodes. It is found that increasing the local-world size of new nodes has little influence on the clustering coefficient but increases the degree heterogeneity of networks. Besides, when the network evolves faster, increasing the local-world size of new nodes leads to a faster initial growth rate and a larger steady density of infectious nodes, while it has small impacts on the steady density of infectious disease when the network evolves slowly. Furthermore, if the average degree is fixed, increasing the probability of triad formation p enlarges the clustering coefficient of a network, which reduces the initial growth rate and steady density of infectious nodes in the network. This work could provide a theoretical foundation for the control of infectious disease.http://dx.doi.org/10.1155/2023/4591403 |
spellingShingle | Wenjun Jing Juping Zhang Xiaoqin Zhang Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure Complexity |
title | Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure |
title_full | Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure |
title_fullStr | Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure |
title_full_unstemmed | Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure |
title_short | Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure |
title_sort | epidemic dynamics in temporal clustered networks with local world structure |
url | http://dx.doi.org/10.1155/2023/4591403 |
work_keys_str_mv | AT wenjunjing epidemicdynamicsintemporalclusterednetworkswithlocalworldstructure AT jupingzhang epidemicdynamicsintemporalclusterednetworkswithlocalworldstructure AT xiaoqinzhang epidemicdynamicsintemporalclusterednetworkswithlocalworldstructure |