PUMA
Istituto di Informatica e Telematica     
Arnaboldi V., Passarella A., Conti M., Dunbar R. I. Analysis of Co-Authorship Ego Networks. In: NetSci-X 2016 - International Conference and School on Network Science (Warsaw, Poland, 30-05 2016). Proceedings, vol. 9564 pp. 82 - 96. (Lecture Notes in Computer Science). Springer, 2016.
 
 
Abstract
(English)
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.
Abstract
(Italiano)
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.
DOI: 10.1007/978-3-319-28361-6_7
Subject Scientific productivity
Optimal team size
H-index
Ego networks
Collaboration networks
C.2.1 Network Architecture and Design: wireless communication


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