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A local social network approach for research management

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

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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.
Original languageEnglish
Pages (from-to)427-438
JournalDecision Support Systems
Volume56
Issue number1
Online published7 Nov 2012
DOIs
Publication statusPublished - Dec 2013

Research Keywords

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

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