An exploratory social network analysis of academic research networks

Sergio L. Toral*, Nik Bessis, M. R. Martinez-Torres, Florian Franc, Federico Barrero, Fatos Xhafa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

13 Citations (Scopus)

Abstract

For several decades, academics around the world have been collaborating with the view to support the development of their research domain. Having said that, the majority of scientific and technological policies try to encourage the creation of strong inter-related research groups in order to improve the efficiency of research outcomes and subsequently research funding allocation. In this paper, we attempt to highlight and thus, to demonstrate how these collaborative networks are developing in practice. To achieve this, we have developed an automated tool for extracting data about joint article publications and analyzing them from the perspective of social network analysis. In this case study, we have limited data from works published in 2010 by England academic and research institutions. The outcomes of this work can help policy makers in realising the current status of research collaborative networks in England.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011
Pages21-26
Number of pages6
DOIs
Publication statusPublished - 19 Jan 2012
Event3rd IEEE International Conference on Intelligent Networking and CollaborativeSystems, INCoS 2011 - Fukuoka, Japan
Duration: 30 Nov 20112 Dec 2011

Publication series

NameProceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011

Conference

Conference3rd IEEE International Conference on Intelligent Networking and CollaborativeSystems, INCoS 2011
Country/TerritoryJapan
CityFukuoka
Period30/11/112/12/11

Keywords

  • Bibliometrics
  • Collaborative research networks
  • Knowledge networks
  • Social network analysis

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