{"title":"Title Overlapping Communities Discovery and Improvement","authors":"Rong Yang","doi":"10.29007/hdl3","DOIUrl":null,"url":null,"abstract":"Decomposing a network into communities is one of the most used techniques in network science. Modularity is typically used to measure the goodness of such a decomposition. In this paper we develop a method which allows us to begin with a crisp decomposition (no overlaps) and move to an overlapping decomposition while increasing the modularity. We also show that the same technique can be used to improve existing overlapping decompositions.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EPiC series in computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29007/hdl3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Decomposing a network into communities is one of the most used techniques in network science. Modularity is typically used to measure the goodness of such a decomposition. In this paper we develop a method which allows us to begin with a crisp decomposition (no overlaps) and move to an overlapping decomposition while increasing the modularity. We also show that the same technique can be used to improve existing overlapping decompositions.