Predicting the Impact of Patents: A Network Science Approach (Evolutionary Economics and Social Complexity Science)

ISBN 10: 4431548068 / ISBN 13: 9784431548065

Published by Springer

About this Item

pp. 194.

Seller Inventory # 373567883

Bibliographic Details

• Title: Predicting the Impact of Patents: A Network Science Approach (Evolutionary Economics and Social Complexity Science)
• Publisher: Springer
• ISBN 10: 4431548068
• ISBN 13: 9784431548065
• Condition: New

About this title

Synopsis

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.

About the Author

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