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Community detection of agents interacting through regional innovation policies: structures, processes and functions

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  • Riccardo Righi

Abstract

The detection of communities of agents that interacted over time through regional innovation policies is analyzed through the application of three methodologies: Clique Percolation Method (CPM) by Palla et al. (2005), Infomap by Rosvall and Bergstrom (2008), and Dynamic Cluster Index analysis (DCI) by Villani et al. (2013). In a economic context of analysis centered on such a complex object as innovation, the three methodologies are applied to investigate different specific aspects of community organizations aimed at developing innovative activities. The investigation of relational structures (through CPM), of shared processes (through Infomap) and of integrated behaviors (through DCI analysis) allowed the identification of communities that reveal, respectively, meaningful characterizations in terms of agents’ participations in specific waves of the policy, of agents’ participations in projects operating in particular technological domains, and in terms of agents’ institutional typologies. The case study regards the policy interventions implemented by region Tuscany (Italy) in 2000-2006 with the aim of supporting innovative network projects among local actors.

Suggested Citation

  • Riccardo Righi, 2016. "Community detection of agents interacting through regional innovation policies: structures, processes and functions," Department of Economics 0100, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    • Handle: RePEc:mod:depeco:0100
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    References listed on IDEAS

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    1. Annalisa Caloffi & Federica Rossi & Margherita Russo, 2015. "What Makes SMEs more Likely to Collaborate? Analysing the Role of Regional Innovation Policy," European Planning Studies, Taylor & Francis Journals, vol. 23(7), pages 1245-1264, July.
    2. repec:mod:depeco:0030 is not listed on IDEAS
    3. Annalisa Caloffi & Federica Rossi & Margherita Russo, 2014. "The roles of different intermediaries in innovation networks: A network-based approach," Department of Economics (DEMB) 0030, University of Modena and Reggio Emilia, Department of Economics "Marco Biagi".
    4. Federica Rossi & Annalisa Caloffi & Margherita Russo, 2013. "Networked by design: Can policy constraints support the development of capabilities for collaborative innovation?," Management Working Papers 5, Birkbeck Department of Management, revised Jul 2013.
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    More about this item

    Keywords

    innovation; interactive agents; Clique Percolation Method; Infomap; Dynamic Cluster Index analysis; regional policies;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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