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Other literature type . 2015
Data sources: ZENODO
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Conference object . 2015
Data sources: Datacite
ZENODO
Conference object . 2015
Data sources: Datacite
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Web analytics as tool for improvement of website taxonomies

Authors: Lykke, Marianne; Svarre, Tanja;

Web analytics as tool for improvement of website taxonomies

Abstract

The poster examines how web analytics can be used to provide informationabout users and inform design and redesign of taxonomies. It uses a casestudy of the website Cancer.dk by the Danish Cancer Society. The society is aprivate organization with an overall goal to prevent the development ofcancer, improve patients’ chances of recovery, and limit the physical, psychological and social side-effects of cancer. The website is the main channel for communication and knowledge sharing with patients, their relatives and professionals. The present study consists of two independent analyses, one using Google analytics focusing on searching and browsing activities, another using a home-grown transaction log developed to collect data about tagging, searching and browsing by tags. The log is set up to distinguish between tags added by editors and end-users respectively. Altogether, the study provides information about e.g. subjects of interest, searching behaviour, browsing patterns in website structure as well as tag clouds, page views. The poster discusses benefits and challenges of the two web metrics, with a model of how to use search and tag data for the design of taxonomies, e.g. choice ofcategories and vocabulary, hierarchical structure, granularity, associative navigation, and filtering.

Related Organizations
Keywords

Searching behaviour, Medicine, Web analytics, Taxonomies

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research