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Multiplexity, Growth Mechanisms and Structural Variety in Scientific Collaboration Networks

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  • Mario A. Maggioni
  • Stefano Breschi
  • Pietro Panzarasa

Abstract

A substantial body of literature has recently been concerned with the structure and dynamics of the collaboration networks that underlie the production and dissemination of scientific knowledge. Despite the growing interest in these networks, relatively little emphasis has been placed on two broad areas of investigation: on the one hand, the interplay of the growth mechanisms underpinning the evolution of collaborative arrangements; on the other, the implications that the structure and multiplexity of these arrangements have on knowledge creation and diffusion. The articles in this Special Issue aim to bridge these gaps in the literature and, by embracing a variety of perspectives, contribute towards a better understanding of how collaboration networks originate, function, and evolve. This Introduction offers a theoretical and methodological framework for the articles here included. It begins by discussing problems of measurement of scientific collaboration, and goes on to examine the role that growth mechanisms, structural variety and multiplexity play in shaping the genesis and functioning of collaboration networks. In reviewing current and emerging research themes, the discussion will also identify promising research directions that will stimulate future work on collaboration networks in science and technology.

Suggested Citation

  • Mario A. Maggioni & Stefano Breschi & Pietro Panzarasa, 2013. "Multiplexity, Growth Mechanisms and Structural Variety in Scientific Collaboration Networks," Industry and Innovation, Taylor & Francis Journals, vol. 20(3), pages 185-194, April.
  • Handle: RePEc:taf:indinn:v:20:y:2013:i:3:p:185-194
    DOI: 10.1080/13662716.2013.791124
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    References listed on IDEAS

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    1. Sanjeev Goyal, 2007. "Introduction to Connections: An Introduction to the Economics of Networks," Introductory Chapters, in: Connections: An Introduction to the Economics of Networks, Princeton University Press.
    2. Francesco Lissoni & Fabio Montobbio, 2008. "Inventorship and Authorship in Patent-Publication Pairs: an Enquiry into the Economics of Scientific Credit," KITeS Working Papers 224, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Nov 2008.
    3. Mario Maggioni & Teodora Uberti & Mario Nosvelli, 2014. "Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 453-485, September.
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    Cited by:

    1. Anda� T. Arikan & Joris Knoben, 2014. "Sources of Inter-Firm Heterogeneity in Accessing Knowledge-Creation Benefits Within Technology Clusters," Industry and Innovation, Taylor & Francis Journals, vol. 21(6), pages 476-493, August.
    2. Mario Maggioni & Teodora Uberti & Mario Nosvelli, 2014. "Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 453-485, September.
    3. Filiposka, Sonja & Gajduk, Andrej & Dimitrova, Tamara & Kocarev, Ljupco, 2017. "Bridging online and offline social networks: Multiplex analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 825-836.
    4. Valentina Meliciani & Daniela Cagno & Andrea Fabrizi & Marco Marini, 2022. "Knowledge networks in joint research projects, innovation and economic growth across European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 549-586, June.
    5. Mario A. Maggioni & Teodora Erika Uberti & Mario Nosvelli, 2017. "The "Political" Geography of Research Networks," International Regional Science Review, , vol. 40(4), pages 337-376, July.
    6. Pierre Barbillon & Sophie Donnet & Emmanuel Lazega & Avner Bar-Hen, 2017. "Stochastic block models for multiplex networks: an application to a multilevel network of researchers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 295-314, January.

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