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The Pattern Of Knowledge Flows Between Technology Fields

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  • Mauro Caminati
  • Arsenio Stabile

Abstract

This paper exploits recent contributions to the notions of modularity and autocatalytic sets to identify the functional and structural units that define the strongest systematic and self-sustaining channels of knowledge transfer and accumulation within the network of knowledge flows between technology fields. Our analysis reconstructs the architecture of the empirical knowledge pattern based on the United States Patent and Trademark Office (USPTO) patent citation data at the level of resolution of three-digit technology classes, for the period 1975-99. Copyright © 2009 The Authors. Journal compilation © 2009 Blackwell Publishing Ltd.

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  • Mauro Caminati & Arsenio Stabile, 2010. "The Pattern Of Knowledge Flows Between Technology Fields," Metroeconomica, Wiley Blackwell, vol. 61(2), pages 364-397, May.
  • Handle: RePEc:bla:metroe:v:61:y:2010:i:2:p:364-397
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    Cited by:

    1. Francois Lafond & Daniel Kim, 2017. "Long-run dynamics of the U.S. patent classification system," Papers 1703.02104, arXiv.org.
    2. Caminati, Mauro, 2009. "A knowledge based approach to collaboration in basic research," MPRA Paper 18864, University Library of Munich, Germany.

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