通过Facebook的同质性、共同知识和集体行动模型

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2018-08-01 DOI:10.1109/ASONAM.2018.8508834

Gizem Korkmaz, C. Kuhlman, Joshua Goldstein, F. Vega-Redondo

{"title":"通过Facebook的同质性、共同知识和集体行动模型","authors":"Gizem Korkmaz, C. Kuhlman, Joshua Goldstein, F. Vega-Redondo","doi":"10.1109/ASONAM.2018.8508834","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce homophily to a game-theoretic model of collective action (e.g., protests) on Facebook and study the effect of homophily in individuals' willingness to participate in collective action, i.e., their thresholds, on the emergence and spread of collective action. We use a real Facebook network and conduct computational experiments to study contagion dynamics (the size and the speed of diffusion) with respect to the level of homophily.","PeriodicalId":135949,"journal":{"name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Model of Homophily, Common Knowledge and Collective Action Through Facebook\",\"authors\":\"Gizem Korkmaz, C. Kuhlman, Joshua Goldstein, F. Vega-Redondo\",\"doi\":\"10.1109/ASONAM.2018.8508834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce homophily to a game-theoretic model of collective action (e.g., protests) on Facebook and study the effect of homophily in individuals' willingness to participate in collective action, i.e., their thresholds, on the emergence and spread of collective action. We use a real Facebook network and conduct computational experiments to study contagion dynamics (the size and the speed of diffusion) with respect to the level of homophily.\",\"PeriodicalId\":135949,\"journal\":{\"name\":\"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASONAM.2018.8508834\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASONAM.2018.8508834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

本文将同质性引入到Facebook上集体行动(如抗议)的博弈论模型中，并研究了同质性对个人参与集体行动的意愿，即他们的阈值，对集体行动的出现和传播的影响。我们使用一个真实的Facebook网络，并进行计算实验来研究传染动力学(扩散的大小和速度)与同质性水平的关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Model of Homophily, Common Knowledge and Collective Action Through Facebook

In this paper, we introduce homophily to a game-theoretic model of collective action (e.g., protests) on Facebook and study the effect of homophily in individuals' willingness to participate in collective action, i.e., their thresholds, on the emergence and spread of collective action. We use a real Facebook network and conduct computational experiments to study contagion dynamics (the size and the speed of diffusion) with respect to the level of homophily.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

自引率

0.00%

发文量