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Analysis of Transaction Logs from National Museums Liverpool

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Abstract

The websites of Cultural Heritage institutions attract the full range of users, from professionals to novices, for a variety of tasks. However, many institutions are reporting high bounce rates and therefore seeking ways to better engage users. The analysis of transaction logs can provide insights into users’ searching and navigational behaviours and support engagement strategies. In this paper we present the results from a transaction log analysis of web server logs representing user-system interactions from the seven websites of National Museums Liverpool (NML). In addition, we undertake an exploratory cluster analysis of users to identify potential user groups that emerge from the data. We compare this with previous studies of NML website users.

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Notes

  1. 1.
  2. 2.
  3. 3.
  4. 4.

    Alternative algorithms such as k-modes (k-prototypes) and DBScan were also tested, but no stable clusters emerged.

  5. 5.

    Based on theIP2Location IP4 allocated IP address ranges; however, it is noted that the United Nations only identifies 195.

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Acknowledgements

We would like to thank National Museums Liverpool for providing access to the web server transaction logs.

Author information

Authors and Affiliations

  1. Edge Hill University, Ormskirk, Lancashire, UK

    David Walsh & Georgios Kontonatsios

  2. University of Sheffield, Sheffield, UK

    David Walsh, Paul Clough, Frank Hopfgartner & Jonathan Foster

  3. Martin Luther University Halle-Wittenberg, Halle, Germany

    Mark M. Hall

  4. Peak Indicators, Chesterfield, UK

    Paul Clough

Authors
  1. David Walsh

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  2. Paul Clough

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  3. Mark M. Hall

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  4. Frank Hopfgartner

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  5. Jonathan Foster

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  6. Georgios Kontonatsios

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Corresponding author

Correspondence toDavid Walsh.

Editor information

Editors and Affiliations

  1. University of La Rochelle, La Rochelle, France

    Antoine Doucet

  2. VU University Amsterdam, Amsterdam, The Netherlands

    Antoine Isaac

  3. Linnaeus University, Växjö, Sweden

    Koraljka Golub

  4. OsloMet – Oslo Metropolitan University, Oslo, Norway

    Trond Aalberg

  5. Kyoto University, Kyoto, Japan

    Adam Jatowt

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Walsh, D., Clough, P., Hall, M.M., Hopfgartner, F., Foster, J., Kontonatsios, G. (2019). Analysis of Transaction Logs from National Museums Liverpool. In: Doucet, A., Isaac, A., Golub, K., Aalberg, T., Jatowt, A. (eds) Digital Libraries for Open Knowledge. TPDL 2019. Lecture Notes in Computer Science(), vol 11799. Springer, Cham. https://doi.org/10.1007/978-3-030-30760-8_7

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