The value of indirect ties in citation networks:SNA analysis with OWA operator weights


This paper seeks to advance the theory and practice of the dynamics of complex networks in relation to direct and indirect citations. It applies social network analysis (SNA) and the ordered weighted averaging operator (OWA) to study a patent citations network. So far the SNA studies investigating long chains of patents citations have rarely been undertaken and the importance of a node in a network has been associated mostly with its number of direct ties. In this research OWA is used to analyse complex networks, assess the role of indirect ties, and provide guidance to reduce complexity for decision makers and analysts. An empirical example of a set of European patents published in 2000 in the renewable energy industry is provided to show the usefulness of the proposed approach for the preference ranking of patent citations.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: Crown Copyright © 2015 Published by Elsevier Inc. All rights reserved.
Uncontrolled Keywords: aggregation operator,ordered weighted averaging (OWA),patent citations network,social network analysis (SNA),Artificial Intelligence,Software,Control and Systems Engineering,Theoretical Computer Science,Computer Science Applications,Information Systems and Management
Publication ISSN: 1872-6291
Last Modified: 10 May 2024 07:10
Date Deposited: 05 May 2015 13:50
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2015-09-01
Published Online Date: 2015-03-11
Authors: Marra, Marianna
Emrouznejad, Ali (ORCID Profile 0000-0001-8094-4244)
Ho, William
Edwards, John S. (ORCID Profile 0000-0003-3979-017X)



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