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 journalArticle

Abstract

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
Volume314
Early online date11 Mar 2015
DOIs
Publication statusPublished - 1 Sep 2015

Fingerprint

Averaging Operators
Social Network Analysis
Patents
Citations
Complex networks
Tie
Electric network analysis
Operator
Complex Networks
Renewable Energy
Guidance
Industry
Ranking
Social network analysis
Patent citations
Vertex of a graph

Bibliographical note

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

Keywords

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

Cite this

@article{6f0eb3b02276462aba7cc3436a5eb3f2,
title = "The value of indirect ties in citation networks: SNA analysis with OWA operator weights",
abstract = "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.",
keywords = "aggregation operator, ordered weighted averaging (OWA), patent citations network, social network analysis (SNA)",
author = "Marianna Marra and Ali Emrouznejad and William Ho and Edwards, {John S.}",
note = "Crown Copyright {\circledC} 2015 Published by Elsevier Inc. All rights reserved.",
year = "2015",
month = "9",
day = "1",
doi = "10.1016/j.ins.2015.02.017",
language = "English",
volume = "314",
pages = "135--151",
journal = "Information Sciences",
issn = "0020-0255",
publisher = "Elsevier",

}

The value of indirect ties in citation networks : SNA analysis with OWA operator weights. / Marra, Marianna; Emrouznejad, Ali; Ho, William; Edwards, John S.

In: Information Sciences, Vol. 314, 01.09.2015, p. 135-151.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The value of indirect ties in citation networks

T2 - SNA analysis with OWA operator weights

AU - Marra, Marianna

AU - Emrouznejad, Ali

AU - Ho, William

AU - Edwards, John S.

N1 - Crown Copyright © 2015 Published by Elsevier Inc. All rights reserved.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - 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.

AB - 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.

KW - aggregation operator

KW - ordered weighted averaging (OWA)

KW - patent citations network

KW - social network analysis (SNA)

UR - http://www.scopus.com/inward/record.url?scp=84929169250&partnerID=8YFLogxK

U2 - 10.1016/j.ins.2015.02.017

DO - 10.1016/j.ins.2015.02.017

M3 - Article

AN - SCOPUS:84929169250

VL - 314

SP - 135

EP - 151

JO - Information Sciences

JF - Information Sciences

SN - 0020-0255

ER -