{"title":"基于图压缩的社团结构增强社团检测算法","authors":"Shuxia Ren, Qinghao Wang","doi":"10.1109/AEMCSE55572.2022.00021","DOIUrl":null,"url":null,"abstract":"Community detection is the important tools which can discovering useful information hidden in complex networks. Most existing community detection algorithms have low detection accuracy on complex networks which community structures are unclear. In order to solve this problem, this paper proposes a community detection algorithm (CSEP). The algorithm first reduces the network size with graph compression, and then increases or deletes links between nodes to enhance the community structure in the network.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Community Structure Enhanced Community Detection Algorithm Based on Graph Compression\",\"authors\":\"Shuxia Ren, Qinghao Wang\",\"doi\":\"10.1109/AEMCSE55572.2022.00021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Community detection is the important tools which can discovering useful information hidden in complex networks. Most existing community detection algorithms have low detection accuracy on complex networks which community structures are unclear. In order to solve this problem, this paper proposes a community detection algorithm (CSEP). The algorithm first reduces the network size with graph compression, and then increases or deletes links between nodes to enhance the community structure in the network.\",\"PeriodicalId\":309096,\"journal\":{\"name\":\"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEMCSE55572.2022.00021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEMCSE55572.2022.00021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Community Structure Enhanced Community Detection Algorithm Based on Graph Compression
Community detection is the important tools which can discovering useful information hidden in complex networks. Most existing community detection algorithms have low detection accuracy on complex networks which community structures are unclear. In order to solve this problem, this paper proposes a community detection algorithm (CSEP). The algorithm first reduces the network size with graph compression, and then increases or deletes links between nodes to enhance the community structure in the network.