DocumentCode :
2125000
Title :
Identification of Web Communities through Link Based Approaches
Author :
Sharan, Aditi ; Gupta, Sonu Lal
Author_Institution :
Sch. of Comput. & Syst. Sci., Jawaharlal Nehru Univ., New Delhi
fYear :
2009
fDate :
3-5 April 2009
Firstpage :
703
Lastpage :
708
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.
Keywords :
Web sites; information retrieval; WWW; Web communities identification; Web pages; information sharing; link based approaches; Algorithm design and analysis; Bipartite graph; Data mining; Information management; Information retrieval; Optical computing; Search engines; Web mining; Web pages; World Wide Web; Bipartite graph; Link analysis; Maximum flow algorithm; Web community; Web mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering, 2009. ICIME '09. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-0-7695-3595-1
Type :
conf
DOI :
10.1109/ICIME.2009.69
Filename :
5077125
Link To Document :
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