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An adaptive group decision making framework: Individual and local world opinion based opinion dynamics

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成果类型:
期刊论文
作者:
Dong, Qingxing*;Sheng, Qi;Martinez, Luis;Zhang, Zhen*
通讯作者:
Dong, Qingxing;Zhang, Zhen
作者机构:
[Sheng, Qi; Dong, Qingxing] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Dong, Qingxing] Wuhan Univ, Ctr Studies Informat Resources, Wuhan 430073, Peoples R China.
[Martinez, Luis] Univ Jaen, Dept Comp Sci, Jaen 23071, Spain.
[Zhang, Zhen] Dalian Univ Technol, Inst Syst Engn, Dalian 116024, Peoples R China.
通讯机构:
[Dong, Qingxing] C
[Zhang, Zhen] D
Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
Dalian Univ Technol, Inst Syst Engn, Dalian 116024, Peoples R China.
语种:
英文
关键词:
Adaptive consensus reaching process;Group decision making;Opinion dynamics;Social network
期刊:
Information Fusion
ISSN:
1566-2535
年:
2022
卷:
78
页码:
218-231
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71871102, 71904057, 72074109, 71971039]; Young Elite Scientists Sponsorship Program by CAST [2018QNRC001]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2018T110808, 2017M610489]; Education research grants of CCNU [2019JG15]; self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU19ZN023]; Spanish National Research ProjectSpanish Government [PGC2018-099402-B-I00]; ERDFEuropean Commission
机构署名:
本校为第一且通讯机构
院系归属:
信息管理学院
摘要:
Opinion dynamics (OD) models, which simulate individuals’ opinion evolution process on social network to analyze the final state of opinion distribution in a group, usually differ from each other due to the differences in social network evolution rules and opinion evolution rules. However, most existing social network evolution rules and opinion evolution rules usually cannot characterize the comprehensive influence of key factors such as neighbors and opinion differences in social relationships. To fully consider the properties of social netw...

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