000049044 000__ 02644cam\a22003855i\4500 000049044 001__ 49044 000049044 003__ SzGeWIPO 000049044 005__ 20240708150415.0 000049044 006__ m eo d 000049044 007__ cr bn |||m|||a 000049044 008__ 240321s2023\\\\enk\\\\\ob\\\\000\0\eng\d 000049044 035__ $$a(OCoLC)1427546054 000049044 040__ $$aSzGeWIPO$$beng$$erda$$cSzGeWIPO$$dCaBNVSL 000049044 041__ $$aeng 000049044 24500 $$aWhat drives network evolution? :$$bComparing R&D project and patent networks in the EU. 000049044 264_1 $$a[Oxford, UK] :$$b[Oxford University Press],$$c2023 000049044 300__ $$a1 online resource (pp. 1109–1134) 000049044 336__ $$atext$$2rdacontent 000049044 337__ $$acomputer$$2rdamedia 000049044 338__ $$aonline resource$$bcr$$2rdacarrier 000049044 4901_ $$aIndustrial and Corporate Change ;$$vVolume 32, Issue 5 000049044 5203_ $$aCollaboration networks are the main mechanisms through which regional innovation capacities are enhanced. These networks have been analyzed by using data either on research projects or patents. However, analyzing only one type of network can limit our understanding of regional innovation dynamics. In this paper, we investigate the drivers of network evolution in two inter-regional network types within the European Union: R&D project networks and co-patenting networks. Specifically, we examine data on Framework Program project collaborations and patent collaborations at the NUTS2 regional level between 2011 and 2019. Our empirical strategy is based on Stochastic Actor-Oriented Model where we analyze and compare the factors that affect the evolution of two networks. We find that path-dependent processes resulting from past networks, such as triadic closure, preferential attachment, and tie repetition, play a more important role in explaining the evolution of R&D project networks compared with patent networks. On the other hand, regional characteristics, particularly the patenting intensity of a region and similarity in patenting between regions appear to be more influential in shaping patent networks. These results have important implications for the future evolution of knowledge networks in Europe. 000049044 542__ $$fhttps://academic.oup.com/pages/using-the-content/citation 000049044 590__ $$aPublished online: 2023 000049044 650_0 $$aIntellectual property. 000049044 650_0 $$aPatents. 000049044 7001_ $$aSemih, Akçomak, İbrahim,$$eauthor. 000049044 7001_ $$aÇetinkaya, Umut Yılmaz,$$eauthor. 000049044 7001_ $$aErdil, Erkan,$$eauthor. 000049044 7001_ $$aGossart, Müge Özman,$$eauthor. 000049044 7731_ $$tIndustrial and Corporate Change,$$wINCC 000049044 830_0 $$aIndustrial and Corporate Change ;$$vVolume 32, Issue 5. 000049044 85641 $$uhttps://doi.org/10.1093/icc/dtad044 000049044 904__ $$aJournal article 000049044 980__ $$aINCC