TitleAnalysis of Co-authorship Ego Networks
Publication TypeBook Chapter
Year of Publication2016
AuthorsArnaboldi, V, Dunbar, RIM, Passarella, A, Conti, M
EditorWierzbicki, A, Brandes, U, Schweitzer, F, Pedreschi, D
Book TitleAdvances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings
PublisherSpringer International Publishing
ISBN Number978-3-319-28361-6
KeywordsCollaboration networks, Ego networks, H-index, Optimal team size, Scientific productivity

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 coauthorship 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.

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