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Focusing on the dynamics of co-patenting in Japan and the U.S., this book employs network science to analyze collaborations between firms and inventors. It highlights how network structures and generative models can predict new connections, while also addressing the limitations of traditional regression analyses in capturing network complexities. Compiling a series of studies based on published academic articles, it offers insights into utilizing patent data to explore the intricate relationships and geographical factors influencing collaboration in innovation.
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Co-patenting: An Analytic Tool for Cooperative Research and Development, Hiroyasu Inoue
- Lingua
- Pubblicato
- 2021
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