A diachronic cluster analysis of Danish museum websites

Bibliographic Data

ID13119007
AuthorsMette Skov (0000-0002-8821-0314, Aalborg University, corresponding author), Tanja Svarre (Aalborg University)
Year2024
Volume8
Issue1-2
Pages188-203
Publication date2024-02-19
Open AccessYes
TypeARTICLE
VenueInternet Histories (JOURNAL)
Journal identifiersISSN: 2470-1475 • E-ISSN: 2470-1483
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/24701475.2024.2313292
OpenAlexW4391931435
LanguageEN
Citations received1
References cited24

Earlier studies describing and categorising the development of museum websites either build on theoretical knowledge or the analysis of a qualitative sample of relatively few, but prominent museum websites. The present study takes a broader approach and aims to characterise the development across Danish museum websites through the years 2005–2020. The methodological approach is a diachronic (temporal) analysis of Danish museum websites using data extracted from the Danish Web. A cluster anal-ysis was used to identify similarities between museum websites. The cluster analysis shows that the museum website representations possess distinct attributes pivotal to their degree of resemblance with others, such as collection type, geographical location, organisational structure and whether the communication and dis-semination strategy focus on disseminating collection content or extends to a broader communication scope. However, the quantitative text analysis approach to studying archived museum web-sites did not identified a new typology. Instead, the study suggests how a cluster analysis of the Danish museum web sphere can constitute an initial step in comprehending domain development, and ultimately discerning the attributes that characterise the different museum website clusters

Cluster (spacecraft · Danish · Linguistics · Complex Network Analysis Techniques · Computer Science · Philosophy · Web Data Mining and Analysis · Web visibility and informetrics

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