{"title":"协同网络中社区动态检测与分析","authors":"Manel Ben Jdidia, C. Robardet, E. Fleury","doi":"10.1109/ICDIM.2007.4444313","DOIUrl":null,"url":null,"abstract":"In this paper we propose a new way to identify communities in evolving graphs like collaborative networks. We apply this approach on the Infocom co-authorship network to determine stable collaborations and evolving communities. Finally, we analyse the impact of the co-authorships relation topology on the formation of the program committee board of the conference.","PeriodicalId":198626,"journal":{"name":"2007 2nd International Conference on Digital Information Management","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Communities detection and analysis of their dynamics in collaborative networks\",\"authors\":\"Manel Ben Jdidia, C. Robardet, E. Fleury\",\"doi\":\"10.1109/ICDIM.2007.4444313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a new way to identify communities in evolving graphs like collaborative networks. We apply this approach on the Infocom co-authorship network to determine stable collaborations and evolving communities. Finally, we analyse the impact of the co-authorships relation topology on the formation of the program committee board of the conference.\",\"PeriodicalId\":198626,\"journal\":{\"name\":\"2007 2nd International Conference on Digital Information Management\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 2nd International Conference on Digital Information Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIM.2007.4444313\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Conference on Digital Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2007.4444313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Communities detection and analysis of their dynamics in collaborative networks
In this paper we propose a new way to identify communities in evolving graphs like collaborative networks. We apply this approach on the Infocom co-authorship network to determine stable collaborations and evolving communities. Finally, we analyse the impact of the co-authorships relation topology on the formation of the program committee board of the conference.