Finding Cross-Border Collaborative Centres in Biopharma Patent Networks: A Clustering Comparison Approach Based on Adjusted Mutual Information

Zhen Zhu, Yuan Gao

Research output: Contribution to conferencePaperpeer-review

Abstract

The recent speedy development of COVID-19 mRNA vaccines has underlined the importance of cross-border patent collaboration. This paper uses the latest edition of the REGPAT database from the OECD and constructs the co-applicant patent networks for the fields of biotechnology and pharmaceuticals. We identify the cross-border collaborative regional centres in these patent networks at NUT3 level using a clustering comparison approach based on adjusted mutual information (AMI). In particular, we measure and compare the AMI scores of the clustering before and after arbitrarily removing cross-border links of a focal node against the default clustering defined by national borders. The region with the largest difference in AMI scores is identified as the most cross-border collaborative centre, hence the name of our measure, AMI gain. We find that our measure both correlates with and has advantages over the traditional measure betweenness centrality and a simple measure of foreign share.
Original languageEnglish
Publication statusPublished - Nov 2021
EventCOMPLEX NETWORKS 2021: TENTH INTERNATIONAL CONFERENCE ON COMPLEX NETWORKS & THEIR APPLICATIONS - Polytechnic University of Madrid/online & in-person, Madrid, Spain
Duration: 30 Nov 20212 Dec 2021
Conference number: 10th
https://complexnetworks.org/

Conference

ConferenceCOMPLEX NETWORKS 2021: TENTH INTERNATIONAL CONFERENCE ON COMPLEX NETWORKS & THEIR APPLICATIONS
Abbreviated titleCOMPLEX NETWORKS 2021
Country/TerritorySpain
CityMadrid
Period30/11/212/12/21
Internet address

Keywords

  • patent networks
  • cross-border
  • adjusted mutual information
  • clustering comparison

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