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Disentangling link formation and dissolution in spatial networks: An application of a two-mode STERGM to a project-based R&D network in the German Biotechnology industry

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  • Tom Broekel
  • Marcel Bednarz

Abstract

The analysis of spatial networks' evolution has predominantly concentrated on the formation process of links. However, the evolution of networks is similarly shaped by the dissolution of links, which has thus far received considerably less attention. The paper presents separable temporal exponential random graph models (STERGMs) as a promising method in this context, which allows for the disentangling of both processes. Moreover, the applicability of the method to two-mode network data is demonstrated. We illustrate the use of these models for the R&D collaboration network of the German biotechnology industry as well as for testing for the relevance of different forms of proximities for its evolution. The results reveal proximities varying in their relative importance for link formation and link dissolution.

Suggested Citation

  • Tom Broekel & Marcel Bednarz, 2018. "Disentangling link formation and dissolution in spatial networks: An application of a two-mode STERGM to a project-based R&D network in the German Biotechnology industry," Papers in Evolutionary Economic Geography (PEEG) 1837, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2018.
  • Handle: RePEc:egu:wpaper:1837
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    7. Patrick Wolf & Tobias Buchmann, 2021. "Analyzing development patterns in research networks and technology," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 55-81, April.
    8. Ana M. Guerra & Felipe Montes & Andrés F. Useche & Ana María Jaramillo & Silvia A. González & Jose D. Meisel & Catalina Obando & Valentina Cardozo & Ruth F. Hunter & Olga L. Sarmiento, 2020. "Effects of a Physical Activity Program Potentiated with ICTs on the Formation and Dissolution of Friendship Networks of Children in a Middle-Income Country," IJERPH, MDPI, vol. 17(16), pages 1-21, August.
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    10. Cornelius Fritz & Michael Lebacher & Göran Kauermann, 2020. "Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 275-299, August.
    11. Mathias Heidinger & Fabian Wenner & Sebastian Sager & Paul Sussmann & Alain Thierstein, 2023. "Where do knowledge-intensive firms locate in Germany?—An explanatory framework using exponential random graph modeling [Welche Standorte wählen wissensintensive Unternehmen in Deutschland? – Ein Er," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(1), pages 101-124, April.
    12. Kei, Yik Lun & Chen, Yanzhen & Madrid Padilla, Oscar Hernan, 2023. "A partially separable model for dynamic valued networks," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
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    15. Chen Zhang & Xinghua Dang & Tao Peng & Chaokai Xue, 2019. "Dynamic Evolution of Venture Capital Network in Clean Energy Industries Based on STERGM," Sustainability, MDPI, vol. 11(22), pages 1-25, November.

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    More about this item

    Keywords

    STERGM; inter-organizational network structure; bipartite; proximity; dissolution; R&D subsidies;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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