Immunization of Cooperative Spreading Dynamics on Complex Networks

Cooperative spreading dynamics on complex networks is a hot topic in the field of network science. In this paper, we propose a strategy to immunize some nodes based on their degrees. The immunized nodes disable the synergistic effect of cooperative spreading dynamics. We also develop a generalized p...

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Main Authors: Jun Wang, Shi-Min Cai, Tao Zhou
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6645113
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author Jun Wang
Shi-Min Cai
Tao Zhou
author_facet Jun Wang
Shi-Min Cai
Tao Zhou
author_sort Jun Wang
collection DOAJ
description Cooperative spreading dynamics on complex networks is a hot topic in the field of network science. In this paper, we propose a strategy to immunize some nodes based on their degrees. The immunized nodes disable the synergistic effect of cooperative spreading dynamics. We also develop a generalized percolation theory to study the final state of the spreading dynamics. By using the Monte Carlo method, numerical simulations reveal that immunizing nodes with a large degree cannot always be beneficial for containing cooperative spreading. For small values of transmission probability, immunizing hubs can suppress the spreading, while the opposite situation happens for large values of transmission probability. Furthermore, numerical simulations show that immunizing hubs increase the cost of the system. Finally, all numerical simulations can be well predicted by the generalized percolation theory.
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institution Kabale University
issn 1076-2787
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-cfb26f3d42c7417bbc0b574f1b3b4a312025-02-03T06:43:55ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66451136645113Immunization of Cooperative Spreading Dynamics on Complex NetworksJun Wang0Shi-Min Cai1Tao Zhou2School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, ChinaCooperative spreading dynamics on complex networks is a hot topic in the field of network science. In this paper, we propose a strategy to immunize some nodes based on their degrees. The immunized nodes disable the synergistic effect of cooperative spreading dynamics. We also develop a generalized percolation theory to study the final state of the spreading dynamics. By using the Monte Carlo method, numerical simulations reveal that immunizing nodes with a large degree cannot always be beneficial for containing cooperative spreading. For small values of transmission probability, immunizing hubs can suppress the spreading, while the opposite situation happens for large values of transmission probability. Furthermore, numerical simulations show that immunizing hubs increase the cost of the system. Finally, all numerical simulations can be well predicted by the generalized percolation theory.http://dx.doi.org/10.1155/2021/6645113
spellingShingle Jun Wang
Shi-Min Cai
Tao Zhou
Immunization of Cooperative Spreading Dynamics on Complex Networks
Complexity
title Immunization of Cooperative Spreading Dynamics on Complex Networks
title_full Immunization of Cooperative Spreading Dynamics on Complex Networks
title_fullStr Immunization of Cooperative Spreading Dynamics on Complex Networks
title_full_unstemmed Immunization of Cooperative Spreading Dynamics on Complex Networks
title_short Immunization of Cooperative Spreading Dynamics on Complex Networks
title_sort immunization of cooperative spreading dynamics on complex networks
url http://dx.doi.org/10.1155/2021/6645113
work_keys_str_mv AT junwang immunizationofcooperativespreadingdynamicsoncomplexnetworks
AT shimincai immunizationofcooperativespreadingdynamicsoncomplexnetworks
AT taozhou immunizationofcooperativespreadingdynamicsoncomplexnetworks