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Data mining in a closed Web environment

Author

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  • Cristina Faba-Pérez

    (University of Extremadura Alcazaba de Badajoz (Antiguo Hospital Militar))

  • Vicente P. Guerrero-Bote

    (University of Extremadura Alcazaba de Badajoz (Antiguo Hospital Militar))

  • Félix De Moya-Anegón

    (University of Granada Campus Cartuja, Colegio Máximo)

Abstract

The need to understand the fabric of relationships that are building up on the World Wide Web calls for the application of tools that allow one to extract the underlying knowledge. Some of the most interesting relationships are those that are brought to light by co-linking analysis (the Web analogue of cocitation analysis). We here propose such an analysis based on the co-links that are generated within a closed web environment, using multivariate statistics (Principal Component Analysis, and Multidimensional Scaling) and a connection-based technique (Kohonen's Self-Organizing Maps). An application was made to a generic thematic environment, and the underlying relationships and structures were manifest in the interpretation of the results.

Suggested Citation

  • Cristina Faba-Pérez & Vicente P. Guerrero-Bote & Félix De Moya-Anegón, 2003. "Data mining in a closed Web environment," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 623-640, November.
    • Handle: RePEc:spr:scient:v:58:y:2003:i:3:d:10.1023_b:scie.0000006884.08036.73
    DOI: 10.1023/B:SCIE.0000006884.08036.73
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    References listed on IDEAS

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    Cited by:

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    3. Qiang Yao & Peng-Hui Lyu & Lian-Ping Yang & Lan Yao & Zhi-Yong Liu, 2014. "Current performance and future trends in health care sciences and services research," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 751-779, October.
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    5. Junping Qiu & Yejun Li & Jiang Li & Quane Ren, 2008. "An exploratory study on substantive co-link analysis: A modification to total co-link analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 327-341, August.
    6. Peng Hui Lv & Gui-Fang Wang & Yong Wan & Jia Liu & Qing Liu & Fei-cheng Ma, 2011. "Bibliometric trend analysis on global graphene research," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 399-419, August.

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