When Influencers Compete on Social Networks

C. Bravard, J. Durieu, S. Sarangi, Corinne Touati
{"title":"When Influencers Compete on Social Networks","authors":"C. Bravard, J. Durieu, S. Sarangi, Corinne Touati","doi":"10.2139/ssrn.3546523","DOIUrl":null,"url":null,"abstract":"We study an opinion formation game between a Designer and an Adversary. While the Designer creates the network, both these players can influence network nodes (agents) initially, with ties being broken in favor of the Designer. Final opinions of agents are a convex combination of own opinions and the average network peer opinion. The optimal influence strategy shows threshold effects with non-empty equilibrium networks having star type architectures. By contrast, when the tie-breaking rule favors the Adversary, non-empty equilibrium networks are regular networks. The effect of random interactions between network nodes altering the network is also studied.","PeriodicalId":319022,"journal":{"name":"Economics of Networks eJournal","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics of Networks eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3546523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We study an opinion formation game between a Designer and an Adversary. While the Designer creates the network, both these players can influence network nodes (agents) initially, with ties being broken in favor of the Designer. Final opinions of agents are a convex combination of own opinions and the average network peer opinion. The optimal influence strategy shows threshold effects with non-empty equilibrium networks having star type architectures. By contrast, when the tie-breaking rule favors the Adversary, non-empty equilibrium networks are regular networks. The effect of random interactions between network nodes altering the network is also studied.
当影响者在社交网络上竞争时
研究了设计者和对手之间的意见形成博弈。当设计者创建网络时,这两个参与者最初都可以影响网络节点(代理),并以有利于设计者的方式打破联系。代理的最终意见是自己的意见和网络同伴的平均意见的凸组合。最优影响策略在具有星型结构的非空均衡网络中表现出阈值效应。相反,当平局规则有利于对手时,非空均衡网络是规则网络。研究了网络节点间的随机交互对网络的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信