Heterogeneity-Oriented Immunization Strategy on Multiplex Networks

Yingchu Xin, Chunyu Wang, Yali Cui, Chao Gao, Xianghua Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Many real-world complex systems can be treated as multiplex networks and there have constantly been unwanted diffusion (e.g., computer viruses, rumors, and epidemics) running on top of them. These type of network risks often lead to the global economic burden every year. Centrality-based immunization is an important approach to reduce the cost of preventing such unexpected massive outbreaks, for its effectiveness in cutting off the dissemination paths to delay the propagation. However, most of the current strategies on multiplex networks only focus on the topological structures when evaluating the influence of nodes, and the heterogeneity of individual behaviors has been less addressed. This paper proposes a heterogeneity-oriented (HO) immunization strategy for multiplex networks based on heterogeneous features of nodes. Specifically, the HO strategy treats nodes as independent agents, and the behaviors of them are defined and quantified in each layer. After coupling with the topological factor, this strategy is able to characterize the importance of nodes which can further be used for pre-immunization to delay the detrimental propagation. To testify the effectiveness, plenty of experiments are conducted based on a multi-agent email model. The results on large real-world and synthetic multiplex networks show that our strategy outperforms the existing representative strategies and effectively delay the propagation.

源语言英语
主期刊名PRICAI 2019
主期刊副标题Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings
编辑Abhaya C. Nayak, Alok Sharma
出版商Springer Verlag
678-690
页数13
ISBN(印刷版)9783030298937
DOI
出版状态已出版 - 2019
已对外发布
活动16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019 - Yanuka Island, 斐济
期限: 26 8月 201930 8月 2019

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11672 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019
国家/地区斐济
Yanuka Island
时期26/08/1930/08/19

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