Temporal Analysis of Tourism Research Collaboration Network

Wei Fan, Gang Li, Chun Hung Roberts Law

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Network analysis is an effective tool for the study of collaboration relationships among researchers. Collaboration networks constructed from previous studies, and their changes over time have been studied. However, the impact of individual researchers in collaboration networks has not been investigated systematically. We introduce a new method of measuring the contribution of researchers to the connectivity of collaboration networks and evaluate the importance of researchers by considering both contribution and productivity. Betweenness centrality is found to be better than degree centrality in terms of reflecting the changes of importance of researchers. Accordingly, a method is further proposed to identify key researchers at certain periods. The performance of the identified researchers demonstrates the effectiveness of the proposed method.
Original languageEnglish
Pages (from-to)643-672
Number of pages30
JournalJournal of Hospitality and Tourism Research
Volume41
Issue number6
DOIs
Publication statusPublished - 1 Aug 2017

Keywords

  • betweenness
  • centrality measure
  • network analysis
  • research collaboration

ASJC Scopus subject areas

  • Education
  • Tourism, Leisure and Hospitality Management

Cite this