Getting funded. Multi-level network of physicists in Italy

Much of the work in the sociology of science observes scientific communities from a micro perspective, focusing on interactions in laboratories in order to uncover the impact of social and cultural norms in the everyday production of scientific results. Other studies approach the topic from a macro perspective, analysing scientific organizations and the reciprocal influence they have with wider society, or uncovering the invisible colleges that become apparent through the analysis of co-authorship and citations’ patterns. Less attention has been paid to the meso level of interaction within and between scientists and the institutions they work in. This paper extends the structural approach of Lazega et al. (2008. Catching up with big fish in the big pond? Multi-level network analysis through linked design. Social Networks 30, 157–176) and analyses the local system of public funding to physics in Italy using bipartite networks. Data cover 10 years of funding of Projects of National Interest (Prin) from the Italian Ministry of University and Research. The micro level (collaborations between scientists), macro level (collaborations between institutions) and meso level (the combination of network measures at a micro and macro level) of interactions are independently analysed, and results are used to model the total amount of money physicists have received over the 10 years against the variables that meaningfully describe the network structure of collaborations. Results show that in order to be successfully funded what counts more than being a big fish (a scientist with a lot of connections) working in a big pond (a large University), is being in a brokerage position interacting over the years with different research groups.

► I analyse the local system of public funding to physics in Italy from 1997 to 2006.
► I extend the structural approach of multilevel network analysis to observe different levels of interaction within and between scientists and the institutions they work in.
► I analyse the micro level (collaborations between scientists), macro level (collaborations between institutions) and meso level (the combination of network measures at a micro and macro level) of interactions.
► I model of the total amount of money physicists received over the 10 years against the variables that meaningfully describe the network structure of collaborations.
► Results show that in order to be successfully funded what counts more is being in a brokerage position, interacting over the years with different research groups.