{"title":"Identification of Web Communities through Link Based Approaches","authors":"Aditi Sharan, S. Gupta","doi":"10.1109/ICIME.2009.69","DOIUrl":null,"url":null,"abstract":"WWW has grown rapidly in recent years which has enabled us to obtain much information on various fields. At the same time it is becoming difficult to obtain really relevant web pages on a specific topic. Therefore it becomes very important today to extract web pages related to certain information topically. Recently it has become popular to call a collection of web pages sharing certain information as web community. Identifying good quality web community is still a challenging problem. Different notions and methods for identifying web communities have been proposed. In this paper we provide a frame work for identifying web communities using link based approaches. We have discussed and analyzed various link based approaches for identifying web communities. Based on extensive survey we have tried to identify problems/limitations of these approaches and discussed some extensions of these approaches","PeriodicalId":445284,"journal":{"name":"2009 International Conference on Information Management and Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Information Management and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIME.2009.69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
WWW has grown rapidly in recent years which has enabled us to obtain much information on various fields. At the same time it is becoming difficult to obtain really relevant web pages on a specific topic. Therefore it becomes very important today to extract web pages related to certain information topically. Recently it has become popular to call a collection of web pages sharing certain information as web community. Identifying good quality web community is still a challenging problem. Different notions and methods for identifying web communities have been proposed. In this paper we provide a frame work for identifying web communities using link based approaches. We have discussed and analyzed various link based approaches for identifying web communities. Based on extensive survey we have tried to identify problems/limitations of these approaches and discussed some extensions of these approaches