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Differences between web sessions according to the origin of their visits

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  • Ortega, José Luis
  • Aguillo, Isidro

Abstract

The aim of this paper is to characterize the distribution of number of hits and spent time by web session. It also expects to find if there are significant differences between the length and the duration of a session with regard to the point of access–search engine, link or root. Web usage mining was used to analyse 17,174 web sessions that were identified from the webometrics.info web site. Results show that both distribution of length and duration follow an exponential decay. Significant differences between the different origins of the visits were also found, being the search engines’ users those who spent most time and did more clicks in their sessions. We conclude that a good SEO policy would be justified, because search engines are the principal intermediaries to this web site.

Suggested Citation

  • Ortega, José Luis & Aguillo, Isidro, 2010. "Differences between web sessions according to the origin of their visits," Journal of Informetrics, Elsevier, vol. 4(3), pages 331-337.
    • Handle: RePEc:eee:infome:v:4:y:2010:i:3:p:331-337
    DOI: 10.1016/j.joi.2010.02.001
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    References listed on IDEAS

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    1. Bernard J. Jansen & Amanda Spink & Jan Pedersen, 2005. "A temporal comparison of AltaVista Web searching," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(6), pages 559-570, April.
    2. 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.
    3. Xiangji Huang & Fuchun Peng & Aijun An & Dale Schuurmans, 2004. "Dynamic Web log session identification with statistical language models," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(14), pages 1290-1303, December.
    4. Mazlita Mat‐Hassan & Mark Levene, 2005. "Associating search and navigation behavior through log analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(9), pages 913-934, July.
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    Cited by:

    1. Evangelos Mourelatos & Manolis Tzagarakis, 2018. "An investigation of factors affecting the visits of online crowdsourcing and labor platforms," Netnomics, Springer, vol. 19(3), pages 95-130, December.
    2. Dong Joon Lee & Besiki Stvilia & Seungyeon Ha & Douglas Hahn, 2023. "The structure and priorities of researchers' scholarly profile maintenance activities: A case of institutional research information management system," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(2), pages 186-204, February.

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