, Volume 85, Issue 3, pp 721–740 | Cite as

Academic team formation as evolving hypergraphs

  • Carla Taramasco
  • Jean-Philippe Cointet
  • Camille RothEmail author


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.


Scientific collaboration Team formation Social network analysis Hypergraphs Socio-semantic networks Epistemic dynamics social cohesion 



This work was partially supported by the Future and Emerging Technologies programme FP7-COSI-ICT of the European Commission through project QLectives (grant no.: 231200). We thank David Chavalarias and several anonymous reviewers for their useful comments.


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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2010

Authors and Affiliations

  • Carla Taramasco
    • 1
    • 2
    • 3
  • Jean-Philippe Cointet
    • 1
    • 2
    • 4
  • Camille Roth
    • 1
    • 2
    • 5
    • 6
    Email author
  1. 1.ISC-PIF (Institut des Systèmes Complexes – Paris-Île-de-France)ParisFrance
  2. 2.CREA/ENSTA (CNRS/Ecole Polytechnique, France)ParisFrance
  3. 3.DECOMUniversidad de ValparaisoValparaisoChile
  4. 4.IFRIS (Institut Francilien Recherche Innovation Société)Champs-sur-MarneFrance
  5. 5.CAMS, EHESS/CNRSParisFrance
  6. 6.CRESSUniversity of SurreyGuildfordUK

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