Why continuous discussion can promote the consensus of opinions?
文献类型:期刊论文
作者 | Li,Zhenpeng1; Tang,Xijin2![]() |
刊名 | Computational Social Networks
![]() |
出版日期 | 2016-11-21 |
卷号 | 3期号:1 |
关键词 | Social influence network theory Random graph Opinions dynamics |
ISSN号 | 2197-4314 |
DOI | 10.1186/s40649-016-0035-x |
英文摘要 | AbstractWhy group opinions tend to be converged through continued communication, discussion and interactions? Under the framework of the social influence network model, we rigorously prove that the group consensus is almost surely within finite steps. This is a quite certain result, and reflects the real-world common phenomenon. In addition, we give a convergence time lower bound. Although our explanations are purely based on mathematic deduction, it shows that the latent social influence structure is the key factor for the persistence of disagreement and formation of opinions convergence or consensus in the real world social system. |
语种 | 英语 |
WOS记录号 | BMC:10.1186/S40649-016-0035-X |
出版者 | Springer International Publishing |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/356] ![]() |
专题 | 系统科学研究所 |
通讯作者 | Li,Zhenpeng |
作者单位 | 1.Dali University; Department of Applied Statistics 2.Chinese Academy of Sciences; Academy of Mathematics and Systems Sciences |
推荐引用方式 GB/T 7714 | Li,Zhenpeng,Tang,Xijin,Chen,Benhui,et al. Why continuous discussion can promote the consensus of opinions?[J]. Computational Social Networks,2016,3(1). |
APA | Li,Zhenpeng,Tang,Xijin,Chen,Benhui,Yang,Jian,&Su,Peng.(2016).Why continuous discussion can promote the consensus of opinions?.Computational Social Networks,3(1). |
MLA | Li,Zhenpeng,et al."Why continuous discussion can promote the consensus of opinions?".Computational Social Networks 3.1(2016). |
入库方式: OAI收割
来源:数学与系统科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。