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Analysis of Co-Authorship Ego Networks

The availability of co-authorship data from large-scale electronic databases is paving the way for new analyses on human collaboration networks. The complex network of co-authorships can identify specific features that characterise the behaviour of researchers, and impact on their production and performance. In this paper, we analyse a large sample of data regarding scientific publications from Google Scholar. The aim of our analysis is to study a fundamental aspect of co-authorship networks, i.e. the structure of authors’ ego networks. Specifically, we highlight the existence of a hierarchical organisation of these networks in a series of concentric circles, quite similar to that found in general human social networks. In addition, we highlight some properties of the correlation between the ego network structure and the authors scientific productivity, measured in terms of h-index.

NetSci Society Winter conference on Network Science (NetSci-X 2016), Warsaw, Poland, 2016

Autori esterni: Robin I.M. Dunbar (Department of Experimental Psychology, University of Oxford)
Autori IIT:

Valerio Arnaboldi

Foto di Valerio Arnaboldi

Tipo: Contributo in atti di convegno
Area di disciplina: Information Technology and Communication Systems

File: article.pdf

Attività: Big Data & Mobile Cloud
Social Networking