Evolutionary Computation in Social Propagation over Complex Networks: A Survey

doi:10.1007/s11633-021-1302-3

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	Evolutionary Computation in Social Propagation over Complex Networks: A Survey
	Tian-Fang Zhao 2
刊名	International Journal of Automation and Computing
	2021
卷号	18 期号:4 页码:503-520
关键词	Evolutionary computation complex network propagation dynamics social diffusion evolution model optimization algorithm
ISSN号	1476-8186
DOI	10.1007/s11633-021-1302-3
英文摘要	Social propagation denotes the spread phenomena directly correlated to the human world and society, which includes but is not limited to the diffusion of human epidemics, human-made malicious viruses, fake news, social innovation, viral marketing, etc. Simulation and optimization are two major themes in social propagation, where network-based simulation helps to analyze and understand the social contagion, and problem-oriented optimization is devoted to contain or improve the infection results. Though there have been many models and optimization techniques, the matter of concern is that the increasing complexity and scales of propagation processes continuously refresh the former conclusions. Recently, evolutionary computation (EC) shows its potential in alleviating the concerns by introducing an evolving and developing perspective. With this insight, this paper intends to develop a comprehensive view of how EC takes effect in social propagation. Taxonomy is provided for classifying the propagation problems, a d the applications of EC in solving these problems are reviewed. Furthermore, some open issues of social propagation and the potential applications of EC are discussed. This paper contributes to recognizing the problems in application-oriented EC design and paves the way for the development of evolving propagation dynamics.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/45060]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.School of Journalism and Communication, South China University of Technology, Guangzhou 510006, China 2.School of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China
推荐引用方式 GB/T 7714	Tian-Fang Zhao. Evolutionary Computation in Social Propagation over Complex Networks: A Survey[J]. International Journal of Automation and Computing,2021,18(4):503-520.
APA	Tian-Fang Zhao.(2021).Evolutionary Computation in Social Propagation over Complex Networks: A Survey.International Journal of Automation and Computing,18(4),503-520.
MLA	Tian-Fang Zhao."Evolutionary Computation in Social Propagation over Complex Networks: A Survey".International Journal of Automation and Computing 18.4(2021):503-520.