A local social network approach for research management

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

4 Scopus Citations
View graph of relations

Author(s)

  • Xiaoyan Liu
  • Zhiling Guo
  • Zhenjiang Lin
  • Jian Ma

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)427-438
Journal / PublicationDecision Support Systems
Volume56
Issue number1
Early online date7 Nov 2012
Publication statusPublished - Dec 2013

Abstract

Traditional methods to evaluate research performance focus on citation count, quality and quantity of research output by individual researchers. These measures overlook the roles an individual plays in research collaboration, which is critical in an institutional research management environment due to the inherent interdependency among research entities. In order to address the organizational research management needs, we propose a research social network approach to better analyze local collaboration networks. For this purpose, we develop a new "collaboration supportiveness" measure to quantify an individual researcher's collaboration ability. Insights derived from this research are very helpful for managers to effectively allocate resources, identify research priorities, promote collaboration, and grow research in directions aligned with the organizational strategies. © 2012 Elsevier B.V.

Research Area(s)

  • Collaboration analysis, Research analytics, Research management, Social network analysis

Citation Format(s)

A local social network approach for research management. / Liu, Xiaoyan; Guo, Zhiling; Lin, Zhenjiang; Ma, Jian.

In: Decision Support Systems, Vol. 56, No. 1, 12.2013, p. 427-438.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review