{"title":"在线抗议动员:建立一个计算模型","authors":"I. Filippov, E. Yureskul, A. Petrov","doi":"10.1109/MLSD49919.2020.9247729","DOIUrl":null,"url":null,"abstract":"The paper is dedicated to contemporary developments in agent-based modeling of protest with regards to social media activity. We propose a mathematical model of user activity on Twitter, taking into account the ideology of users when sharing (retweeting) political messages and memes.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Online Protest Mobilization: Building A Computational Model\",\"authors\":\"I. Filippov, E. Yureskul, A. Petrov\",\"doi\":\"10.1109/MLSD49919.2020.9247729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper is dedicated to contemporary developments in agent-based modeling of protest with regards to social media activity. We propose a mathematical model of user activity on Twitter, taking into account the ideology of users when sharing (retweeting) political messages and memes.\",\"PeriodicalId\":103344,\"journal\":{\"name\":\"2020 13th International Conference \\\"Management of large-scale system development\\\" (MLSD)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 13th International Conference \\\"Management of large-scale system development\\\" (MLSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MLSD49919.2020.9247729\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MLSD49919.2020.9247729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online Protest Mobilization: Building A Computational Model
The paper is dedicated to contemporary developments in agent-based modeling of protest with regards to social media activity. We propose a mathematical model of user activity on Twitter, taking into account the ideology of users when sharing (retweeting) political messages and memes.