The spatiotemporal evolution of global innovation networks and the changing position of China: a social network analysis based on cooperative patents.

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Title:	The spatiotemporal evolution of global innovation networks and the changing position of China: a social network analysis based on cooperative patents.
Authors:	Feng Hu^1,2 hufengSUIBE@hotmail.com, Liping Qiu³ livy.qiu@hotmail.com, Shaobin Wei⁴ weishaobinECNU@hotmail.com, Haiyan Zhou⁵ zhouhaiyan1122@hotmail.com, Bathuure, Isaac Akpemah⁶ zjgsu@gmail.com, Hao Hu⁷ huhaohn@outlook.com
Source:	R&D Management. Jun2024, Vol. 54 Issue 3, p574-589. 16p.
Subjects:	Social network analysis, Social status, Global Positioning System, Technological innovations, Patents, Economic impact
Geographic Terms:	China
Abstract:	This study uses global patent cooperation data from 1999 to 2020, employs social network analysis, and explores the changes in and driving forces of global innovation networks (GINs) in the past 20 years as well as the change in China’s position in the global innovation system. The results show that on the whole, the network accessibility of GINs has continuously improved, showing scale-free network characteristics. The important nodes in the network are mainly developed countries such as Europe and the United States, and the node polarization effect has weakened; the network has four agglomeration subgroups. The phenomenon of subgroups and factions is not obvious. Further factor identification shows that economic factors and technological information factors have the strongest correlation with the innovation network and that demographic factors have a weaker correlation with the innovation network. In addition, China’s position in the innovation network has been increasing year by year, and the role of ‘transit stations’ has become increasingly prominent. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	This study uses global patent cooperation data from 1999 to 2020, employs social network analysis, and explores the changes in and driving forces of global innovation networks (GINs) in the past 20 years as well as the change in China’s position in the global innovation system. The results show that on the whole, the network accessibility of GINs has continuously improved, showing scale-free network characteristics. The important nodes in the network are mainly developed countries such as Europe and the United States, and the node polarization effect has weakened; the network has four agglomeration subgroups. The phenomenon of subgroups and factions is not obvious. Further factor identification shows that economic factors and technological information factors have the strongest correlation with the innovation network and that demographic factors have a weaker correlation with the innovation network. In addition, China’s position in the innovation network has been increasing year by year, and the role of ‘transit stations’ has become increasingly prominent. [ABSTRACT FROM AUTHOR]
ISSN:	00336807
DOI:	10.1111/radm.12662