Detecting and analyzing research communities in longitudinal scientific networks.
A growing body of evidence shows that collaborative teams and communities tend to produce the highest-impact scientific work. This paper proposes a new method to (1) Identify collaborative communities in longitudinal scientific networks, and (2) Evaluate the impact of specific research institutes, s...
Main Authors: | Valerio Leone Sciabolazza, Raffaele Vacca, Therese Kennelly Okraku, Christopher McCarty |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5552257?pdf=render |
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