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  1. University of Computer Studies, Yangon
  2. Conferences

Extracting Patterns in Social Network by Means of Link Mining

http://hdl.handle.net/20.500.12678/0000003503
http://hdl.handle.net/20.500.12678/0000003503
634ca7f5-190d-4206-9282-0b7562ce07bb
230be636-13cb-41da-857f-d8c1021c48e4
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psc2010paper psc2010paper (44).pdf (502 Kb)
Publication type
Article
Upload type
Publication
Title
Title Extracting Patterns in Social Network by Means of Link Mining
Language en
Publication date 2010-12-16
Authors
Oo, Hnin Wut Yee
Aung, Than Htike
Description
The World Wide Web serves as a huge, widelydistributed, global information service center for news,advertisements, consumer information, financialmanagement, education, government, e-commerce, andmany other information services. The Web contains arich and dynamic collection of hyperlink informationwhich can access usage information and provide richsources for data mining. It is a highly dynamicinformation source and web service centers update theirweb pages regularly. Linkage information and accessare also updated frequently. This framework is thedistillation of broad search topics, through the discoveryof “authoritative” information sources on topics. Thisusing hubs, called HITS (Hyperlink-Induced TopicSearch) to find authoritative pages based on therelationship between a set of relevant authoritativepages and the set of “hub pages” that join them togetherin the link structure. This formulation has connections tothe eigenvectors of certain matrices associated with thelink graph. This HITS algorithm provides surprisinglygood search results for a wide range of query.
Keywords
Link analysis, HITS algorithm, Kleinberg algorithm, hubs, authorities, networks
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1247
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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