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＜電子ブック＞
Co-patenting: An Analytic Tool for Cooperative Research and Development / by Hiroyasu Inoue
(Evolutionary Economics and Social Complexity Science. ISSN:21984212 ; 21)

版	1st ed. 2020.
出版者	(Tokyo : Springer Japan : Imprint: Springer)
出版年	2020
本文言語	英語
大きさ	XII, 114 p. 48 illus., 25 illus. in color : online resource
著者標目	*Inoue, Hiroyasu author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Technological innovations LCSH:Econometrics LCSH:Business information services FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Innovation and Technology Management FREE:Quantitative Economics FREE:IT in Business
一般注記	Introduction -- Collaboration networks on inventors and firms -- The innovator’s dilemma in collaboration -- Agglomeration of establishment location -- Agglomeration of establishment co-authorship -- Community of establishment networks -- Generative model: Distance and past connection -- Generative model: Intertexture of firm and inventor 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 HTTP:URL=https://doi.org/10.1007/978-4-431-54807-2

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