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Competitive project funding and dynamic complex networks: evidence from Projects of National Interest (PRIN)

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  • Antonio Zinilli

    (Sapienza University of Rome
    IRCRES CNR)

Abstract

This paper aims to study the collaboration among researchers in a specific Italian program funding, the Projects of National Interest (PRIN), which supports the academic research. The paper uses two approaches to study the dynamic complex networks: first it identifies the observed distribution of links among researchers in the four areas of interest (chemistry, physics, economics and sociology) through distribution models, then it uses a stochastic model to understand how the links change over time. The analysis is based on large and unique dataset on 4322 researchers from 98 universities and research institutes that have been selected for PRIN allocation from 2000 to 2011. The originality of this work is that we have studied a competitive funding schemes through dynamic network analysis techniques.

Suggested Citation

  • Antonio Zinilli, 2016. "Competitive project funding and dynamic complex networks: evidence from Projects of National Interest (PRIN)," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 633-652, August.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:2:d:10.1007_s11192-016-1976-4
    DOI: 10.1007/s11192-016-1976-4
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    Cited by:

    1. Andrea Filippetti & Antonio Zinilli, 2023. "The innovation networks of city-regions in Europe: exclusive clubs or inclusive hubs?," Working Papers 63, Birkbeck Centre for Innovation Management Research, revised 08 Feb 2023.
    2. Inoue, Masaaki & Pham, Thong & Shimodaira, Hidetoshi, 2020. "Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks," Journal of Informetrics, Elsevier, vol. 14(3).

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