Local neighborhood-based approach of link prediction in networks
Wang, Chunning1,2; Jing, Bingyi3
2022
发表期刊STATISTICS AND ITS INTERFACE
卷号15期号:3页码:323-334
摘要Network structure has been widely studied in recent decades. One particular usage of the network is to represent the relationship among nodes. Therefore, link prediction plays a crucial role in network analysis. A key issue of link prediction is to estimate the likelihood of potential links between nodes in the network. However, the complex network structure makes such estimation very challenging. In this paper, we propose a link prediction method based on nodes' local neighborhood (LN), which constructs a local neighborhood for each node and calculates the likelihood of connection between nodes based on their neighbors. Further, we extend the LN method to solve the link prediction problems in a network with node covariates and community structure. Experimental studies on synthetic and real networks demonstrate that the performance of our methods is competitive.
关键词Network analysis Link pre-diction Local neighborhood Assortative mixing Disassortative mixing
收录类别SCIE ; SSCI
ISSN1938-7989
语种英语
WOS研究方向Mathematical & Computational Biology ; Mathematics
WOS类目Mathematical & Computational Biology ; Mathematics, Interdisciplinary Applications
WOS记录号WOS:000759206200005
出版者INT PRESS BOSTON, INC
原始文献类型Article
EISSN1938-7997
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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/32018
专题统计与数据科学学院
作者单位1.Lanzhou Univ, Sch Math & Stat, Lanzhou, Peoples R China;
2.Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou, Peoples R China;
3.Hong Kong Univ Sci & Technol, Dept Math, Hong Kong, Peoples R China
第一作者单位兰州财经大学
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Wang, Chunning,Jing, Bingyi. Local neighborhood-based approach of link prediction in networks[J]. STATISTICS AND ITS INTERFACE,2022,15(3):323-334.
APA Wang, Chunning,&Jing, Bingyi.(2022).Local neighborhood-based approach of link prediction in networks.STATISTICS AND ITS INTERFACE,15(3),323-334.
MLA Wang, Chunning,et al."Local neighborhood-based approach of link prediction in networks".STATISTICS AND ITS INTERFACE 15.3(2022):323-334.
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