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Co-patenting: an analytic tool for cooperative research and development

This is the first book that comprehensively analyses co-patenting in Japan and the U.S., which directly signifies collaborations between firms and inventors, using the methodology of network science. Network science approaches enable us to analyse the structures of co-patenting networks. In addition...

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Detalles Bibliográficos
Autor principal: Inoue, Hiroyasu
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-4-431-54807-2
http://cds.cern.ch/record/2706851
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author Inoue, Hiroyasu
author_facet Inoue, Hiroyasu
author_sort Inoue, Hiroyasu
collection CERN
description This is the first book that comprehensively analyses co-patenting in Japan and the U.S., which directly signifies collaborations between firms and inventors, using the methodology of network science. Network science approaches enable us to analyse the structures of co-patenting networks. In addition, generative models in network science estimate the probability of new connections between nodes, which enables us to discuss the temporal development of networks. On the other hand, regression analyses, which are broadly used in the field of economics, may be effective for determining what attributes are important for firms and inventors that are going to be connected, but such techniques cannot consider the complexity of networks. This book compiles a series of studies by the author on geographical location and co-patenting using data that were published in eight academic journal articles. This book gives the reader ideas about how we can utilize patent data to understand how firms and inventors collaborate under the effect of complex networks.
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spelling cern-27068512021-04-21T18:11:36Zdoi:10.1007/978-4-431-54807-2http://cds.cern.ch/record/2706851engInoue, HiroyasuCo-patenting: an analytic tool for cooperative research and developmentMathematical Physics and MathematicsThis is the first book that comprehensively analyses co-patenting in Japan and the U.S., which directly signifies collaborations between firms and inventors, using the methodology of network science. Network science approaches enable us to analyse the structures of co-patenting networks. In addition, generative models in network science estimate the probability of new connections between nodes, which enables us to discuss the temporal development of networks. On the other hand, regression analyses, which are broadly used in the field of economics, may be effective for determining what attributes are important for firms and inventors that are going to be connected, but such techniques cannot consider the complexity of networks. This book compiles a series of studies by the author on geographical location and co-patenting using data that were published in eight academic journal articles. This book gives the reader ideas about how we can utilize patent data to understand how firms and inventors collaborate under the effect of complex networks.Springeroai:cds.cern.ch:27068512020
spellingShingle Mathematical Physics and Mathematics
Inoue, Hiroyasu
Co-patenting: an analytic tool for cooperative research and development
title Co-patenting: an analytic tool for cooperative research and development
title_full Co-patenting: an analytic tool for cooperative research and development
title_fullStr Co-patenting: an analytic tool for cooperative research and development
title_full_unstemmed Co-patenting: an analytic tool for cooperative research and development
title_short Co-patenting: an analytic tool for cooperative research and development
title_sort co-patenting: an analytic tool for cooperative research and development
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-4-431-54807-2
http://cds.cern.ch/record/2706851
work_keys_str_mv AT inouehiroyasu copatentingananalytictoolforcooperativeresearchanddevelopment