The evolution of your success lies at the centre of your co-authorship network

PloS One
Sandra Servia-RodríguezRebeca P Díaz-Redondo

Abstract

Collaboration among scholars and institutions is progressively becoming essential to the success of research grant procurement and to allow the emergence and evolution of scientific disciplines. Our work focuses on analysing if the volume of collaborations of one author together with the relevance of his collaborators is somewhat related to his research performance over time. In order to prove this relation we collected the temporal distributions of scholars' publications and citations from the Google Scholar platform and the co-authorship network (of Computer Scientists) underlying the well-known DBLP bibliographic database. By the application of time series clustering, social network analysis and non-parametric statistics, we observe that scholars with similar publications (citations) patterns also tend to have a similar centrality in the co-authorship network. To our knowledge, this is the first work that considers success evolution with respect to co-authorship.

References

Jan 28, 2004·Proceedings of the National Academy of Sciences of the United States of America·M E J Newman
Jun 29, 2006·Physical Review Letters·J Zhang, M Small
Nov 21, 2007·Bioinformatics·Peter LangfelderSteve Horvath
Dec 10, 2008·Proceedings of the National Academy of Sciences of the United States of America·Xiaoke XuMichael Small
Jan 17, 2013·Scientific Reports·Xiaoling SunFilippo Menczer
Oct 16, 2013·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Zhong-Ke GaoJürgen Kurths
Apr 25, 2014·Scientific Reports·Pierre DevilleAlbert-László Barabási
May 9, 2014·Scientific Reports·Floriana Gargiulo, Timoteo Carletti

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Software Mentioned

UPGMA
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