Analysis of Transaction Logs from National Museums Liverpool

DAVID WALSH; Paul Clough; Frank Hopfgartner; Jonathan Foster; Georgios Kontonatsios; Mark Hall

Analysis of Transaction Logs from National Museums Liverpool

DAVID WALSH, Paul Clough, Frank Hopfgartner, Jonathan Foster, Georgios Kontonatsios, Mark Hall

Computer Science

Research output: Contribution to conference › Paper › peer-review

7 Citations (Scopus)

193 Downloads (Pure)

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.

Original language	English
Pages	84-98
Number of pages	14
Publication status	Published - 10 Sept 2019

Keywords

digital cultural heritage
cluster analysis
museum website
users
survey
transaction log analysis

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Analysis of Transaction Logs from National Museums LiverpoolAccepted author manuscript, 362 KBLicence: CC BY-NC-ND

Cite this

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AU - WALSH, DAVID

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AU - Foster, Jonathan

AU - Kontonatsios, Georgios

AU - Hall, Mark

PY - 2019/9/10

Y1 - 2019/9/10

N2 - 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.

AB - 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.

KW - digital cultural heritage

KW - cluster analysis

KW - museum website

KW - users

KW - survey

KW - transaction log analysis

UR - https://link.springer.com/chapter/10.1007/978-3-030-30760-8_7

M3 - Paper

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ER -

Analysis of Transaction Logs from National Museums Liverpool

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Characterising Online Museum Users: A Study of the National Museums Liverpool Museum Website

The ghost in the museum website: investigating the general public's interactions with museum websites.

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