Patent collaborations: From segregation to globalization
Maria Tsouchnika,
Alex Smolyak,
Panos Argyrakis and
Shlomo Havlin
Journal of Informetrics, 2022, vol. 16, issue 1
Abstract:
We studied the evolution of the European Patent Office (EPO) patents applicants’ collaborations network, within a 35 years span of data (1978–2013). Focusing on the Giant Component (GC) formation process over many time-windows, distributed throughout the data timeline, we found that the features governing this phenomenon are indicative of emerging globalization in the applicants’ collaborations. The timeline appears to be divided into three regimes, corresponding to three states of the network’s evolution. In the early years state, the GC takes long to form and the instant of its creation is easily pinpointed, while it features geographically segregated groups of applicants with technologically similar activities. In contrast, in the late years state, the GC forms quickly, the exact point of its creation is harder to spot, the applicants’ activities are more disparate technologically, while their inter-regional collaborations are significantly increased. The middle years are an intermediate state between the two extreme of early and late years. Moreover, we concluded that the critical patents, which induce the GC’s formation, are typically introduced by large-sized applicants and also that top patent-producing applicants are likely to submit critical patents, albeit at a lower rate than their overall patent submission. Lastly, we uncovered the crucial role that Japan plays in the network’s coherence, through its prominent participation in the GC and the critical patents.
Keywords: EPO Patents network; Giant component; Percolation; Network evolution; Globalization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1751157721001097
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:16:y:2022:i:1:s1751157721001097
DOI: 10.1016/j.joi.2021.101238
Access Statistics for this article
Journal of Informetrics is currently edited by Leo Egghe
More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().