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PhD Students’ Research Group Social Capital in Two Countries: A Clustering Approach with Duocentred Network Measures

The article examines the structure of the collaboration networks of research groups where Slovenian and Spanish PhD students are pursuing their doctorate. The units of analysis are student-supervisor dyads. We use duocentred networks, a novel network structure appropriate for networks which are centred around a dyad. A cluster analysis reveals three typical clusters of research groups. Those which are large and belong to several institutions are labelled under a bridging social capital label. Those which are small, centred in a single institution but have high cohesion are labelled as bonding social capital. Those which are small and with low cohesion are called weak social capital groups. Academic performance of both PhD students and supervisors are highest in bridging groups and lowest in weak groups. Other variables are also found to differ according to the type of research group. At the end, some recommendations regarding academic and research policy are drawn

© Metodološki zvezki, vol. 8, núm. 2, p. 137-155

University of Ljubljana. Faculty of Social Sciences

Author: Coromina Soler, Lluís
Coenders, Germà
Ferligoj, Anuska
Guia, Jaume
Date: 2011
Abstract: The article examines the structure of the collaboration networks of research groups where Slovenian and Spanish PhD students are pursuing their doctorate. The units of analysis are student-supervisor dyads. We use duocentred networks, a novel network structure appropriate for networks which are centred around a dyad. A cluster analysis reveals three typical clusters of research groups. Those which are large and belong to several institutions are labelled under a bridging social capital label. Those which are small, centred in a single institution but have high cohesion are labelled as bonding social capital. Those which are small and with low cohesion are called weak social capital groups. Academic performance of both PhD students and supervisors are highest in bridging groups and lowest in weak groups. Other variables are also found to differ according to the type of research group. At the end, some recommendations regarding academic and research policy are drawn
Format: application/pdf
ISSN: 1854-0031
Document access: http://hdl.handle.net/10256/3641
Language: eng
Publisher: University of Ljubljana. Faculty of Social Sciences
Collection: Reproducció digital del document publicat a: http://mrvar.fdv.uni-lj.si/pub/mz/
Articles publicats (D-EC)
Is part of: © Metodološki zvezki, vol. 8, núm. 2, p. 137-155
Rights: Tots els drets reservats
Subject: Anàlisi de conglomerats
Equips de recerca
Cluster analysis
Research teams
Title: PhD Students’ Research Group Social Capital in Two Countries: A Clustering Approach with Duocentred Network Measures
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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