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-Reference-Cited by-同舟云学术

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

Published:2018-09 Issue:3 Volume:18 Page:677-704
ISSN:1566-113X
Container-title:Networks and Spatial Economics
language:en
Short-container-title:Netw Spat Econ

Author:

Broekel Tom^ORCID,Bednarz Marcel

Funder

Utrecht University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Link

http://link.springer.com/content/pdf/10.1007/s11067-018-9430-1.pdf

Reference66 articles.

1. Anne LJ, Ter Wal, Ron A Boschma (2009) Applying social network analysis in economic geography: framing some key analytic issues. Ann Reg Sci 43 (3):739–756

2. Balland PA (2012) Proximity and the evolution of collaboration networks: evidence from research and development projects within the global navigation satellite system (GNSS) industry. Reg Stud 46:741–756

3. Balland PA, De Vaan M, Boschma R (2013) The dynamics of interfirm networks along the industry life cycle: the case of the global video game industry, 1987-2007. J Econ Geogr 13:741–765

4. Boschma R (2005) Proximity and innovation: a critical assessment. Reg Stud 39:61–74

5. Boschma R, Frenken K (2010) The spatial evolution of innovation networks: a proximity perspective. In: Boschma R, Martin R (eds) The handbook of evolutionary economic geography. Edward Elgar, Cheltenham, Cheltenham, pp 120–135

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