Finding most collaborating mathematicians a co-author network analysis of mathematics domain

descriptionPublicationkeyboard_double_arrow_right Article 01 Apr 2016Publisher:IEEEJournal:2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube)

Authors: Raabia Asif; M Arshad Islam;

doi: 10.1109/icecube.2016.7495240

Finding most collaborating mathematicians a co-author network analysis of mathematics domain

- Summary
- Metrics

Abstract

This paper analyzes the co-author network of Mathematics domain with respect to top publishing authors. A comprehensive dataset of more than 57,000 authors belonging to Mathematics domain has been obtained for the purpose of analysis. Top publishing authors are extracted from the dataset and their characteristics are compared with the rest of the authors. Multiple Co-author networks variants have been analyzed using R igraph package for this study. Important authors are identifies with help of graph centrality measures that include degree, closeness and betweennes centrality. We have found that the top publishing authors network represents reasonably well the overall Mathematics author community.

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average