Temporal Dynamics of Collaborative Networks in Large Scientific Consortia

Daifeng Wang; Koon-Kiu Yan; Joel Rozowsky; Eric Pan; Mark Gerstein

doi:10.1016/j.tig.2016.02.006

Temporal Dynamics of Collaborative Networks in Large Scientific Consortia

Trends Genet. 2016 May;32(5):251-253. doi: 10.1016/j.tig.2016.02.006. Epub 2016 Mar 20.

Authors

Daifeng Wang¹, Koon-Kiu Yan¹, Joel Rozowsky¹, Eric Pan², Mark Gerstein³

Affiliations

¹ Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
² Department of Computer Science, Yale University, New Haven, CT, USA.
³ 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: [email protected].

PMID: 27005445
DOI: 10.1016/j.tig.2016.02.006

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.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Cooperative Behavior*
Humans
Peer Review, Research / trends*

Grants and funding

U41 HG007000/HG/NHGRI NIH HHS/United States