{"title":"签名鲁汶签约网络的鲁汶","authors":"John N. Pougué-Biyong, Renaud Lambiotte","doi":"arxiv-2407.19288","DOIUrl":null,"url":null,"abstract":"In this article, we consider the problem of community detection in signed\nnetworks. We propose SignedLouvain, an adaptation of the Louvain method to\nmaximise signed modularity, efficiently taking advantage of the structure\ninduced by signed relations. We begin by identifying the inherent limitations\nof applying the standard Louvain algorithm to signed networks, before\nintroducing a novel variant specifically engineered to overcome these\nchallenges. Through extensive experiments on real-world datasets, we\ndemonstrate that the proposed method not only maintains the speed and\nscalability of its predecessor but also significantly enhances accuracy in\ndetecting communities within signed networks.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SignedLouvain: Louvain for signed networks\",\"authors\":\"John N. Pougué-Biyong, Renaud Lambiotte\",\"doi\":\"arxiv-2407.19288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we consider the problem of community detection in signed\\nnetworks. We propose SignedLouvain, an adaptation of the Louvain method to\\nmaximise signed modularity, efficiently taking advantage of the structure\\ninduced by signed relations. We begin by identifying the inherent limitations\\nof applying the standard Louvain algorithm to signed networks, before\\nintroducing a novel variant specifically engineered to overcome these\\nchallenges. Through extensive experiments on real-world datasets, we\\ndemonstrate that the proposed method not only maintains the speed and\\nscalability of its predecessor but also significantly enhances accuracy in\\ndetecting communities within signed networks.\",\"PeriodicalId\":501043,\"journal\":{\"name\":\"arXiv - PHYS - Physics and Society\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Physics and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.19288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.19288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this article, we consider the problem of community detection in signed
networks. We propose SignedLouvain, an adaptation of the Louvain method to
maximise signed modularity, efficiently taking advantage of the structure
induced by signed relations. We begin by identifying the inherent limitations
of applying the standard Louvain algorithm to signed networks, before
introducing a novel variant specifically engineered to overcome these
challenges. Through extensive experiments on real-world datasets, we
demonstrate that the proposed method not only maintains the speed and
scalability of its predecessor but also significantly enhances accuracy in
detecting communities within signed networks.