Co-patenting: An Analytic Tool for Cooperative Research and Development: A Network Science Approach (Evolutionary Economics and Social Complexity Science, 21, Band 21) - Hardcover

Buch 24 von 32: Evolutionary Economics and Social Complexity Science

Inoue, Hiroyasu

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

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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

Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
4431548068
ISBN 13 
9784431548065
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
126
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Deutschland

Weitere beliebte Ausgaben desselben Titels

9784431568926: Co-patenting: An Analytic Tool for Cooperative Research and Development (Evolutionary Economics and Social Complexity Science, Band 21)

Vorgestellte Ausgabe

ISBN 10:  4431568921 ISBN 13:  9784431568926
Verlag: Springer, 2021
Softcover