{"title":"社会网络结构:群体及其影响","authors":"Jidong Jin","doi":"10.1109/CCDC.2019.8832533","DOIUrl":null,"url":null,"abstract":"Traditional social network analysis was often used for connected or strongly connected networks. Current social network analysis, such as online social network analysis, will target such networks, which have many members and include a large number of connected or strongly connected subnetworks. Using the concept of group (subnetwork), we can convert large-scale networks into small-scale networks with nodes as groups. A theoretical model for the influence between groups is given in this paper.","PeriodicalId":254705,"journal":{"name":"2019 Chinese Control And Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social Network Structure: Groups and Their Influence\",\"authors\":\"Jidong Jin\",\"doi\":\"10.1109/CCDC.2019.8832533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional social network analysis was often used for connected or strongly connected networks. Current social network analysis, such as online social network analysis, will target such networks, which have many members and include a large number of connected or strongly connected subnetworks. Using the concept of group (subnetwork), we can convert large-scale networks into small-scale networks with nodes as groups. A theoretical model for the influence between groups is given in this paper.\",\"PeriodicalId\":254705,\"journal\":{\"name\":\"2019 Chinese Control And Decision Conference (CCDC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Chinese Control And Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2019.8832533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2019.8832533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social Network Structure: Groups and Their Influence
Traditional social network analysis was often used for connected or strongly connected networks. Current social network analysis, such as online social network analysis, will target such networks, which have many members and include a large number of connected or strongly connected subnetworks. Using the concept of group (subnetwork), we can convert large-scale networks into small-scale networks with nodes as groups. A theoretical model for the influence between groups is given in this paper.