Link prediction in dynamic social networks by integrating different types of information

标题
Link prediction in dynamic social networks by integrating different types of information
作者
关键词
Temporal networks, Community clustering, Eigenvector centrality, Link prediction
出版物
APPLIED INTELLIGENCE
Volume 42, Issue 4, Pages 738-750
出版商
Springer Nature
发表日期
2014-12-22
DOI
10.1007/s10489-014-0631-0

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