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Visual analysis of obesity‐related query terms on HealthLink

Jin Zhang (School of Information Studies, University of Wisconsin‐Milwaukee, Milwaukee, Wisconsin, USA)
Dietmar Wolfram (School of Information Studies, University of Wisconsin‐Milwaukee, Milwaukee, Wisconsin, USA)

Online Information Review

ISSN: 1468-4527

Article publication date: 20 February 2009

833

Abstract

Purpose

The purpose of this article is to investigate obesity‐related queries from a public health portal (HealthLink) transaction log.

Design/methodology/approach

Multidimensional scaling (MDS) was applied to each of five obesity‐related focus keywords and their co‐occurring terms in submitted queries. After the transaction log data were collected and cleaned, and query terms were extracted and parsed, relationships between a focus keyword and its co‐occurring terms were established. Clustering relationships between focus keywords and their co‐occurring terms were identified and analysed in the MDS visual context.

Findings

The MDS analysis produced satisfactory outcomes for all five focus keywords. The term “placements”, in the visual configurations revealed strong grouping tendencies of three to five clusters for each focus keyword.

Originality/value

The findings of this study provide insights into health consumers' internet‐based information‐seeking behaviour on obesity‐related topics. These findings could be used to enhance online search system design and health‐related thesaurus construction.

Keywords

Citation

Zhang, J. and Wolfram, D. (2009), "Visual analysis of obesity‐related query terms on HealthLink", Online Information Review, Vol. 33 No. 1, pp. 43-57. https://doi.org/10.1108/14684520910944382

Publisher

:

Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited

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