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Data collection methods on the Web for infometric purposes — A review and analysis

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  • Judit Bar-Ilan

    (The Hebrew University of Jerusalem)

Abstract

We present different methods of data collection from the Web for informetric purposes. For each method, some studies utilizing it are reviewed, and advantages and shortcomings of each technique are discussed. The paper emphasizes that data collection must be carried out with great care. Since the Web changes constantly, the findings of any study are valid only in the time frame in which it was carried out, and are dependent on the quality of the data collection tools, which are usually not under the control of the researcher. At the current time, the quality and the reliability of most of the available search tools are not satisfactory, thus informetric analyses of the Web mainly serve as demonstrations of the applicability of informetric methods to this medium, and not as a means for obtaining definite conclusions. A possible solution is for the scientific world to develop its own search and data collection tools.

Suggested Citation

  • Judit Bar-Ilan, 2001. "Data collection methods on the Web for infometric purposes — A review and analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(1), pages 7-32, January.
    • Handle: RePEc:spr:scient:v:50:y:2001:i:1:d:10.1023_a:1005682102768
    DOI: 10.1023/A:1005682102768
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    References listed on IDEAS

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    1. Blaise Cronin & Herbert W. Snyder & Howard Rosenbaum & Anna Martinson & Ewa Callahan, 1998. "Invoked on the Web," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(14), pages 1319-1328.
    2. Nancy C. M. Ross & Dietmar Wolfram, 2000. "End user searching on the Internet: An analysis of term pair topics submitted to the Excite search engine," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(10), pages 949-958.
    3. Wallace Koehler, 1999. "An analysis of web page and web site constancy and permanence," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(2), pages 162-180.
    4. Judit Bar-Ilan & Bluma C. Peritz, 1999. "The life span of a specific topic on the web," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 371-382, November.
    5. Leo Katz, 1953. "A new status index derived from sociometric analysis," Psychometrika, Springer;The Psychometric Society, vol. 18(1), pages 39-43, March.
    6. Steve Lawrence & C. Lee Giles, 1999. "Accessibility of information on the web," Nature, Nature, vol. 400(6740), pages 107-107, July.
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    Cited by:

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