Co-patenting: An Analytic Tool for Cooperative Research and Development

  • Hiroyasu Inoue

Part of the Evolutionary Economics and Social Complexity Science book series (EESCS, volume 21)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Hiroyasu Inoue
    Pages 1-8
  3. Hiroyasu Inoue
    Pages 41-56
  4. Hiroyasu Inoue
    Pages 57-69
  5. Hiroyasu Inoue
    Pages 71-82
  6. Hiroyasu Inoue
    Pages 83-92

About this book


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.


Agglomeration Border Effect Collaboration Co-patenting Generative Model Innovation Friction of Distance Multi-layer Network Patent

Authors and affiliations

  • Hiroyasu Inoue
    • 1
  1. 1.Graduate School of Simulation StudiesUniversity of HyogoKobeJapan

Bibliographic information

  • DOI
  • Copyright Information Springer Japan KK, part of Springer Nature 2020
  • Publisher Name Springer, Tokyo
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-4-431-54806-5
  • Online ISBN 978-4-431-54807-2
  • Series Print ISSN 2198-4204
  • Series Online ISSN 2198-4212
  • Buy this book on publisher's site