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Title of Journal: Scientometrics

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Abbravation: Scientometrics

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Springer Netherlands

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DOI

10.1016/0168-9002(89)91448-4

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1588-2861

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An exploration of linkbased knowledge map in acad

Authors: Bo Yang Ying Sun
Publish Date: 2012/12/04
Volume: 96, Issue: 1, Pages: 239-253
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Abstract

The World Wide Web has become an important source of academic information The linking feature of the Web has been used to study the structure of academic web as well as the presence of academic and research institutes on the Web In this paper we propose an integrated model for exploring the subject macrostructure of a specific academic topic on the Web and automatically depicting the knowledge map that is closer to what a domain expert would expect The model integrates a hyperlinkinduced topic search HITSbased link network extending strategy and a semantic based clustering algorithm with the aid of colink analysis and social network analysis SNA to discover subjectbased communities in the academic web space We selected to use websites as analytical units rather than web pages because of the subject stability of a website Compared with traditional techniques in Webometrics and SNA that have been used for such analyses our model has the advantages of working on open web space capability to explore unknown web resources and identify important ones and of automatically building an extendable and hierarchical web knowledge map The experiment in the area of Information Retrieval shows the effectiveness of the integrated model in analyzing and portraying of subject clustering phenomenon in academic web spaceThis research has been supported by the Fund of Humanities and Social Sciences from the Ministry of Education of China under Grant No 11YJC870030 “Research on building of Web knowledge map based on community discovery” The authors would like to thank Professor Dagobert Soergel from University at Buffalo for his great suggestions to this paper

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