On time-varying collaboration networks

Matheus P. Viana, Diego R. Amancio and Luciano da F. Costa

Journal of Informetrics, 2013, vol. 7, issue 2, 371-378

Abstract: The patterns of scientific collaboration have been frequently investigated in terms of complex networks without reference to time evolution. In the present work, we derive collaborative networks (from the arXiv repository) parameterized along time. By defining the concept of affine group, we identify several interesting trends in scientific collaboration, including the fact that the average size of the affine groups grows exponentially, while the number of authors increases as a power law. We were therefore able to identify, through extrapolation, the possible date when a single affine group is expected to emerge. Characteristic collaboration patterns were identified for each researcher, and their analysis revealed that larger affine groups tend to be less stable.

Keywords: Collaborative networks; Time-varying networks; Complex networks; Pattern recognition (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:7:y:2013:i:2:p:371-378

DOI: 10.1016/j.joi.2012.12.005

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