A comprehensive framework for link prediction in multiplex networks

doi:10.1007/s00180-023-01334-8

	A comprehensive framework for link prediction in multiplex networks
	Tang, Fengqin 1; Li, Cuixia 2; Wang, Chungning 3; Yang, Yi4 ; Zhao, Xuejing 5
	2023-02
发表期刊	COMPUTATIONAL STATISTICS
卷号	39 期号:2 页码:939-961
摘要	The idea of predicting links in multiplex networks has gained increasing interest in recent years. In this paper, we propose a comprehensive framework which benefits from the structural information of auxiliary layers to predict links on a target layer of multiplex networks. Specifically, we assume that the likelihood of the existence of a link between two nodes is determined by the contributions from both the nodes' neighbors on the target layer and their counterparts' neighbors on a manually network generated by auxiliary layers. The final likelihood matrix is acquired by an iterative algorithm. In addition, we show advantages of our methods for predicting links on sparse and dense networks as well as on networks with assortative and disassortative structural layers. The effectiveness of the proposed methods are evaluated through extensive experiments on real-world multiplex networks.
关键词	Network analysis Link prediction Multiplex networks Interlayer similarity
DOI	10.1007/s00180-023-01334-8
收录类别	SCIE
ISSN	0943-4062
语种	英语
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000938780500001
出版者	SPRINGER HEIDELBERG
原始文献类型	Article ; Early Access
EISSN	1613-9658
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/33448
专题	财税与公共管理学院
作者单位	1.Huaibei Normal Univ, Sch Math Sci, Huaibei, Peoples R China; 2.Xuzhou Univ Technol, Sch Math & Stat, Xuzhou, Peoples R China; 3.Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou, Peoples R China; 4.Huaibei Normal Univ, Coll Comp Sci & Technol, Huaibei, Peoples R China; 5.Lanzhou Univ, Sch Math & Stat, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Tang, Fengqin,Li, Cuixia,Wang, Chungning,et al. A comprehensive framework for link prediction in multiplex networks[J]. COMPUTATIONAL STATISTICS,2023,39(2):939-961.
APA	Tang, Fengqin,Li, Cuixia,Wang, Chungning,Yang, Yi,&Zhao, Xuejing.(2023).A comprehensive framework for link prediction in multiplex networks.COMPUTATIONAL STATISTICS,39(2),939-961.
MLA	Tang, Fengqin,et al."A comprehensive framework for link prediction in multiplex networks".COMPUTATIONAL STATISTICS 39.2(2023):939-961.