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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

Tom Broekel () and Marcel Bednarz

No 1837, Papers in Evolutionary Economic Geography (PEEG) from Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography

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.

Keywords: STERGM; inter-organizational network structure; bipartite; proximity; dissolution; R&D subsidies (search for similar items in EconPapers)
JEL-codes: R11 O31 O38 D83 D85 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo, nep-ppm and nep-ure
Date: 2018-10, Revised 2018-10
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http://econ.geo.uu.nl/peeg/peeg1837.pdf Version October 2018 (application/pdf)

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Journal Article: 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 (2018) Downloads
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