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2017 | OriginalPaper | Buchkapitel

Knowledge Communities and Socio-Cognitive Taxonomies

verfasst von : Camille Roth

Erschienen in: Formal Concept Analysis of Social Networks

Verlag: Springer International Publishing

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Abstract

Social network analysis (SNA) typically appraises social groups by relying either on interaction patterns or on affiliation similarity. The former case represents the bulk of SNA approaches and relates to the so-called one-mode networks, which are by design blind to actor attributes. The latter case relates to what is denoted as two-mode networks and corresponds to a less abundant literature which uses actor attributes, yet eventually tends to focus much more on actor rather than attribute groups. This chapter aims to show how approaches such as formal concept analysis (FCA) make it possible to appraise actors and attributes on an equal footing. In the particular case of knowledge communities, where actor attributes represent cognitive properties, we deal with joint social and cognitive taxonomies, or socio-cognitive taxonomies. We further demonstrate that FCA also addresses several of the key traditional challenges of community detection in SNA—namely, overlapping groups, hierarchy, and temporal evolution and stability.

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Nächstes Kapitel Individuality in Social Networks
Fußnoten
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Metadaten
Titel
Knowledge Communities and Socio-Cognitive Taxonomies
verfasst von
Camille Roth
Copyright-Jahr
2017
Buch
Formal Concept Analysis of Social Networks

Print ISBN: 978-3-319-64166-9

Electronic ISBN: 978-3-319-64167-6

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-64167-6_1