Academic team formation as evolving hypergraphs

Carla Taramasco (), Jean-Philippe Cointet () and Camille Roth ()
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Carla Taramasco: ISC-PIF (Institut des Systèmes Complexes – Paris-Île-de-France)
Jean-Philippe Cointet: ISC-PIF (Institut des Systèmes Complexes – Paris-Île-de-France)
Camille Roth: ISC-PIF (Institut des Systèmes Complexes – Paris-Île-de-France)

Scientometrics, 2010, vol. 85, issue 3, No 7, 740 pages

Abstract: Abstract This paper quantitatively explores the social and socio-semantic patterns of constitution of academic collaboration teams. To this end, we broadly underline two critical features of social networks of knowledge-based collaboration: first, they essentially consist of group-level interactions which call for team-centered approaches. Formally, this induces the use of hypergraphs and n-adic interactions, rather than traditional dyadic frameworks of interaction such as graphs, binding only pairs of agents. Second, we advocate the joint consideration of structural and semantic features, as collaborations are allegedly constrained by both of them. Considering these provisions, we propose a framework which principally enables us to empirically test a series of hypotheses related to academic team formation patterns. In particular, we exhibit and characterize the influence of an implicit group structure driving recurrent team formation processes. On the whole, innovative production does not appear to be correlated with more original teams, while a polarization appears between groups composed of experts only or non-experts only, altogether corresponding to collectives with a high rate of repeated interactions.

Keywords: Scientific collaboration; Team formation; Social network analysis; Hypergraphs; Socio-semantic networks; Epistemic dynamics social cohesion (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s11192-010-0226-4

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