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DIGITAL.CSIC
Article . 2019 . Peer-reviewed
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Analyzing hyperlinks networks: the meaning of hyperlink based indicators of knowledge production

The meaning of hyperlink based indicators of knowledge production
Authors: Heimeriks, G.; van den Besselaar, P.;

Analyzing hyperlinks networks: the meaning of hyperlink based indicators of knowledge production

Abstract

Hyperlinks are the most commonly used attributes to study web sites and structures on the web. In this paper, we analyze and compare hyperlink networks using a variety of linking units on different levels of aggregation and specificity. Focusing on the scientific web, we selected the following linking units: countries, universities, departments and individuals. This paper discusses whether and how the heterogeneous linking patterns might provide information about knowledge production and its context

Peer reviewed

Countries
Spain, Netherlands
Keywords

Mapping, Hyperlink analysis, Multi-level, Academic web

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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69
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