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复杂系统与复杂性科学  2015, Vol. 12 Issue (2): 97-102    DOI: 10.13306/j.1672-3813.2015.02.015
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在线社会系统的用户行为分析研究进展
郭强, 刘建国
上海理工大学复杂系统科学研究中心,上海 200093
User′s Behavior Analysis of Online Social Systems
GUO Qiang, LIU Jianguo
Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, China
全文: PDF(993 KB)  
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摘要 从社交、点评行为分析,超图网络模型构建,节点重要性识别和网络信息传播等角度介绍了在线社会系统的相关工作,并指出了可能的一些研究方向,为相关的研究工作者提供了借鉴。
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郭强
刘建国
关键词 在线社会网络在线行为超图网络节点重要性    
Abstract:In this paper, we present the advanced progress of the online social interaction, rating behaviors, hypergraph model construction, node importance identification and the information diffusion of online social systems, as well as the possible future directions, which could shed some light on the corresponding progress.
Key wordsonline social networks    online behaviors    hypergraph    node importance
收稿日期: 2014-09-25      出版日期: 2026-06-22
ZTFLH:  TP312  
基金资助:国家自然科学基金(61374177,71171136,71371125);上海市一流学科建设项目(XTKX2012)
通讯作者: 刘建国(1979-),男,山西临汾人,博士,教授,主要研究方向为在线用户行为分析。   
作者简介: 郭强(1975 -),女,辽宁大连人,博士,副教授,主要研究方向为网络科学。
引用本文:   
郭强, 刘建国. 在线社会系统的用户行为分析研究进展[J]. 复杂系统与复杂性科学, 2015, 12(2): 97-102.
GUO Qiang, LIU Jianguo. User′s Behavior Analysis of Online Social Systems[J]. Complex Systems and Complexity Science, 2015, 12(2): 97-102.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2015.02.015      或      https://fzkx.qdu.edu.cn/CN/Y2015/V12/I2/97
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