Evolutionary Economics and Social Complexity Science

Predicting the Impact of Patents

A Network Science Approach

Authors: Inoue, Hiroyasu

  • Comprehensively analyzes patents from the EU, Japan, and the USA, which directly signify collaborations between companies or inventors, within the methodology of network science
  • Includes models that predict probability of new connections between companies or inventors
  • Shows how the impact of patents repeatedly applied by the same team decay and what the proper timing is to leave a decaying relationship  
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eBook  
  • ISBN 978-4-431-54807-2
  • Digitally watermarked, DRM-free
  • Included format:
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Hardcover ca. $139.00
price for USA
  • Due: March 12, 2019
  • ISBN 978-4-431-54806-5
  • Free shipping for individuals worldwide
About this book

This is the first book that comprehensively analyzes joint applications of patents from the European Union, Japan and the United States, which directly signify collaborations between companies or inventors, using the methodology of network science. Network science approaches enable us to predict structures of joint-application networks and to predict the impact of patents applied jointly. Regression analyses, which are broadly used in the field of economics, may be effective for determining what parameters are important for companies or inventors that are going to be connected, but they normally cannot rebuild the structures of networks from the model found through the analyses. Generative models in network science predict the probability of new connections for nodes. In line with this approach, this book also shows specific characteristics of joint-application networks of patents, such as link distance and layer interaction and it introduces models explaining the characteristics. This book discusses not only network structures but the impact of patents on networks, which is practically important. Again, a model found through regression analyses may show significant variables that make it possible to predict the impact of patents but such a model is generally not practically beneficial because the actual situations in which patents are created are so complex. However, if we restrict the situations for joint applications, that is, networks, we can get clear distributions of the impact of patents. This book describes how the impact of patents repeatedly applied by the same team decays and what the proper timing is to leave a decaying relationship.

Buy this book

eBook  
  • ISBN 978-4-431-54807-2
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover ca. $139.00
price for USA
  • Due: March 12, 2019
  • ISBN 978-4-431-54806-5
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Predicting the Impact of Patents
Book Subtitle
A Network Science Approach
Authors
Series Title
Evolutionary Economics and Social Complexity Science
Series Volume
16
Copyright
2019
Publisher
Springer Japan
Copyright Holder
Springer Japan
eBook ISBN
978-4-431-54807-2
Hardcover ISBN
978-4-431-54806-5
Series ISSN
2198-4204
Edition Number
1
Number of Pages
VI, 194
Number of Illustrations and Tables
40 illustrations in colour
Topics