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Co-patenting: An Analytic Tool for Cooperative Research and Development: 21 (Evolutionary Economics and Social Complexity Science, 21) - Tapa dura

Libro 24 de 32: Evolutionary Economics and Social Complexity Science

Inoue, Hiroyasu

 
9784431548065: Co-patenting: An Analytic Tool for Cooperative Research and Development: 21 (Evolutionary Economics and Social Complexity Science, 21)
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ISBN 10: 4431548068 ISBN 13: 9784431548065
Editorial: Springer, 2020

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Hiroyasu Inoue, Graduate School of Simulation Studies, University of Hyogo, Kobe, Japan

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
4431548068
ISBN 13 
9784431548065
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
128
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