Temporal Dynamics of Collaborative Networks in Large Scientific Consortia.

Trends Genet

Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA; Department of Computer Science, Yale University, New Haven, CT, USA. Electronic address:

Published: May 2016

AI Article Synopsis

  • Collective creative enterprises, like large scientific consortia, are becoming increasingly prominent in modern research.
  • Analysis of co-authorship networks in the ENCODE and modENCODE consortia showed that members collaborate closely as a community, unlike non-members who typically work in smaller lab groups.
  • A few key individuals, identified as brokers, significantly help facilitate collaborations between consortium members and outside researchers.

Article Abstract

The emergence of collective creative enterprise such as large scientific consortia is a unique feature in modern scientific research. We analyzed the temporal co-authorship network structures of ENCODE and modENCODE consortia. Our analysis revealed that the consortium members work closely as a community whereas non-members collaborate in the scale of a few laboratories. We also identified a few brokers playing an important role to facilitate collaborations with outside researchers.

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Source
http://dx.doi.org/10.1016/j.tig.2016.02.006DOI Listing

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