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

Marianna Marra, Ali Emrouznejad*, William Ho, John S. Edwards

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)135-151
Number of pages17
JournalInformation Sciences
Early online date11 Mar 2015
Publication statusPublished - 1 Sept 2015

Bibliographical note

Crown Copyright © 2015 Published by Elsevier Inc. All rights reserved.


  • aggregation operator
  • ordered weighted averaging (OWA)
  • patent citations network
  • social network analysis (SNA)


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