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.
Bibliographical noteCrown 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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Indirect ties in knowledge networks: a social network analysis with ordered weighted averaging operatorsAuthor: Marra, M., 2 Mar 2015
Student thesis: Doctoral Thesis › Doctor of PhilosophyFile