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An analysis of web page and web site constancy and permanence

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  • Wallace Koehler

Abstract

We recognize that documents on the World Wide Web are ephemeral and changing. We also recognize that Web documents can be categorized along a number of dimensions, including “publisher,” size, object mix, as well as purpose, meaning, and content. This study is first a preliminary exploration into Web page and Web site mortality rates. It then considers two types of change: Content and structural. Finally, the study is concerned with understanding those constancy and permanence phenomena for different Web document classes. It is suggested that, from the perspective of information maintenance and retrieval, the WWW does not represent revolutionary change. In fact, in some ways the Web is a less sophisticated form than traditional publication practices. Finally, this study explores the “short memory” and “mind changing” of the World Wide Web.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jamest:v:50:y:1999:i:2:p:162-180
    DOI: 10.1002/(SICI)1097-4571(1999)50:23.0.CO;2-B
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    Cited by:

    1. José Luis Ortega & Viv Cothey & Isidro F. Aguillo, 2009. "How old is the Web? Characterizing the age and the currency of the European scientific Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 295-309, October.
    2. Enrique Orduna-Malea & Juan M. Ayllón & Alberto Martín-Martín & Emilio Delgado López-Cózar, 2015. "Methods for estimating the size of Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 931-949, September.
    3. Enrique Orduña-Malea & Adolfo Alonso-Arroyo & José-Antonio Ontalba-Ruipérez & Ferrán Catalá-López, 2023. "Evaluating the online impact of reporting guidelines for randomised trial reports and protocols: a cross-sectional web-based data analysis of CONSORT and SPIRIT initiatives," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 407-440, January.
    4. 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.
    5. Simone Belli & Carlos Gonzalo-Penela, 2020. "Science, research, and innovation infospheres in Google results of the Ibero-American countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 635-653, May.
    6. Zhiqiang Wu, 2009. "An empirical study of the accessibility of web references in two Chinese academic journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(3), pages 481-503, March.

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