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
No 1837, Papers in Evolutionary Economic Geography (PEEG) from Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography
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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
http://econ.geo.uu.nl/peeg/peeg1837.pdf Version October 2018 (application/pdf)
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)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:egu:wpaper:1837
Access Statistics for this paper
More papers in Papers in Evolutionary Economic Geography (PEEG) from Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography Contact information at EDIRC.
Bibliographic data for series maintained by (). This e-mail address is bad, please contact .