典型文献
Identifying spreading influence nodes for social networks
文献摘要：
The identification of spreading influence nodes in social networks,which studies how to detect important individuals in human society,has attracted increasing atten-tion from physical and computer science,social science and economics communities.The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence,describe the node's position,and identify interaction centralities.This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks,emphasizing the contributions from physical perspectives and approaches,including the microstructure-based algo-rithms,community structure-based algorithms,macrostruc-ture-based algorithms,and machine learning-based algo-rithms.We introduce diffusion models and performance evaluation metrics,and outline future challenges of the identification of spreading influence nodes.
文献关键词：
中图分类号：
作者姓名：
Yang OU;Qiang GUO;Jianguo LIU
作者机构：
Research Center of Complex Systems Science,University of Shanghai for Science and Technology,Shanghai 200093,China;Institute of Accounting and Finance,Shanghai University of Finance and Economics,Shanghai 200433,China
文献出处：
引用格式：
[1]Yang OU;Qiang GUO;Jianguo LIU-.Identifying spreading influence nodes for social networks)[J].工程管理前沿（英文版）,2022(04):520-549
A类：
centralities,macrostruc
B类：
Identifying,spreading,influence,nodes,social,networks,identification,which,studies,how,detect,important,individuals,human,society,attracted,increasing,atten,from,physical,computer,science,economics,communities,algorithms,can,used,evaluate,describe,position,identify,interaction,This,review,summarizes,recent,progress,about,viewpoint,emphasizing,contributions,perspectives,approaches,including,microstructure,community,machine,learning,We,introduce,diffusion,models,performance,evaluation,metrics,outline,future,challenges
AB值：
0.491935
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