M. Aida, C. Takano, H. Koto, Y. Honma, Hajime Nakamura
{"title":"Unified Model of Communication Frequency between Users in Social Networks","authors":"M. Aida, C. Takano, H. Koto, Y. Honma, Hajime Nakamura","doi":"10.1109/ICCW.2010.5503931","DOIUrl":null,"url":null,"abstract":"Our previous studies revealed the structure of social networks, which are behind communication networks, by using various metrics of a communication service (amount of traffic, the number of users, etc.). Moreover, we proposed a communication frequency model between users based on a social network structure, and showed that it can reproduce the growth in the number of social networking service (SNS) users. However, when traffic is generated by this communication frequency model, the volume of traffic is inconsistent with the traffic data used in the social network analysis. In this paper, to resolve this contradiction, we propose a unified communication frequency model between users.","PeriodicalId":422951,"journal":{"name":"2010 IEEE International Conference on Communications Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Communications Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCW.2010.5503931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Our previous studies revealed the structure of social networks, which are behind communication networks, by using various metrics of a communication service (amount of traffic, the number of users, etc.). Moreover, we proposed a communication frequency model between users based on a social network structure, and showed that it can reproduce the growth in the number of social networking service (SNS) users. However, when traffic is generated by this communication frequency model, the volume of traffic is inconsistent with the traffic data used in the social network analysis. In this paper, to resolve this contradiction, we propose a unified communication frequency model between users.