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Using social network analysis to identify innovation clusters

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  • Kristijan Breznik

Abstract

The government of the Republic of Slovenia encourages the cooperation between organisations with three types of research centres: competence centres, centres of excellence, and development centres. These three types of networking mechanisms together with research organisations generate two-mode network. With the information obtained from the membership in the networking mechanisms, we constructed weighted and undirected one-mode network of Slovenian research organisations. Furthermore, we instructively provided the methodology which was applied to: establish the innovation one-mode network, obtain the innovation clusters, and classify actors-units (research organisations) in the resulting clusters. The following three centrality measures were used in the paper: degree, betweenness and closeness. In this way, the most important Slovenian research organisations in the field of innovation and knowledge production were revealed. Results confirm two significant indicators in Slovenian research development, regional affiliation and industrial sector membership.

Suggested Citation

  • Kristijan Breznik, 2016. "Using social network analysis to identify innovation clusters," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 19(3), pages 272-285.
    • Handle: RePEc:ids:ijilea:v:19:y:2016:i:3:p:272-285
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    Cited by:

    1. Patterson, Megan S. & Prochnow, Tyler & Richardson, Ryan G. & Jackson, Kevin P., 2020. "Using network analysis to conduct a system-wide program evaluation within a university," Evaluation and Program Planning, Elsevier, vol. 79(C).
    2. Valaei, Naser & Rezaei, Sajad & Ismail, Wan Khairuzzaman Wan, 2017. "Examining learning strategies, creativity, and innovation at SMEs using fuzzy set Qualitative Comparative Analysis and PLS path modeling," Journal of Business Research, Elsevier, vol. 70(C), pages 224-233.

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