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Labour productivity and social network metrics in scientific research

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Abstract

This paper presents an analysis of relationships between collaborations and scientific outputs of the Italian National Research Council (CNR). In order to evaluate collaborations among CNR institutes and between CNR institutes and universities, social network metrics have been applied with the aim to measure relationships and to understand if to cooperate allows researchers to publish higher quality outputs, improving their labour productivity. Research institutes are considered as nodes of the internal collaboration network, following the main aim of recent reform. Collaborations are stimulated not only by governments with the aim to have knowledge spillovers but they can improve citations and also their reputation. This last is extremely relevant for winning competitions, calls or grants. In this paper authors used data of scientific publications related to all institutes of CNR for the 2007 year and they ask to the question if researchers that publish more and better are those that collaborate more.

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  • Greta Falavigna & Alessandro Manello, "undated". "Labour productivity and social network metrics in scientific research," CERIS Working Paper 201418, Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY -NOW- Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY.
  • Handle: RePEc:csc:cerisp:201418
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