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• W2133181752 abstract "The aim of this thesis is to study the complex relationship between scientific productivity and (formal and informal) scientific collaborations. We follow an approach which goes beyond the classical trade-off that emerged from the literature around networks studies and game theory, in the attempt of developing a synthesis between a micro and a macro approach. In doing so, we enrich the toolset of available methodologies by adopting instruments which are typical of Network Analysis (e.g.: networks’ indices of centrality and clustering), Econometrics (e.g.: ZIP and Censored regressions), and Experimental Economics (e.g.: Laboratory experiments). In particular, we look at two different scientific communities, in order to capture different characteristics of the networks: the community of Top geographers, and the community of Italian economists. This thesis is structured with a view to emphasising the role that the incentives which move scientists within their network of collaboration play on shaping the network itself, but also on influencing their scientific productivity. The thesis is composed of three different essays, each of which approaches the phenomena of scientific production and collaboration from different perspectives, allowing me to highlight the role played by four basic components (i.e.: networks, scientific communities, collaborative behaviours, individual incentives and collective outcomes) in shaping the structure and dynamics of the “world of science”." @default.
• W2133181752 created "2016-06-24" @default.
• W2133181752 creator A5016726841 @default.
• W2133181752 date "2012-01-01" @default.
• W2133181752 modified "2023-09-24" @default.
• W2133181752 title "Networks in Sciences: Three Essays on Scientific Collaboration" @default.
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• W2133181752 hasPublicationYear "2012" @default.
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