典型文献
OPINION DYNAMICS ON SOCIAL NETWORKS
文献摘要：
Opinion dynamics has recently attracted much attention,and there have been a lot of achievements in this area.This paper first gives an overview of the development of opinion dynamics on social networks.We introduce some classical models of opinion dynamics in detail,including the DeGroot model,the Krause model,0-1 models,sign networks and models related to Gossip algorithms.Inspired by some real life cases,we choose the unit circle as the range of the individuals'opinion values.We prove that the individuals'opinions of the randomized gossip algorithm in which the individuals'opinion values are on the unit circle reaches consensus almost surely.
文献关键词：
中图分类号：
作者姓名：
Xing WANG;Bingjue JIANG;Bo LI
作者机构：
KLMM,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China;School of Mathematical Sciences,University of Chinese Academy of Sciences,Beijing 100049,China
文献出处：
引用格式：
[1]Xing WANG;Bingjue JIANG;Bo LI-.OPINION DYNAMICS ON SOCIAL NETWORKS)[J].数学物理学报（英文版）,2022(06):2459-2477
A类：
OPINION,SOCIAL,NETWORKS,DeGroot,Gossip,gossip
B类：
DYNAMICS,Opinion,dynamics,has,recently,attracted,much,attention,there,have,been,lot,achievements,this,area,This,paper,first,gives,overview,development,social,networks,We,introduce,some,classical,models,detail,including,Krause,sign,related,algorithms,Inspired,by,real,life,cases,we,choose,unit,circle,range,individuals,values,prove,that,opinions,randomized,which,reaches,consensus,almost,surely
AB值：
0.546938
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