Analyzing co-authoring communities of tourism research collaboration

被引:13
作者
Fan, Wei [1 ]
Li, Gang [2 ,3 ]
Law, Rob [1 ]
机构
[1] Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Hong Kong, Peoples R China
[2] Deakin Univ, Sch Informat Technol, Burwood, Vic 3125, Australia
[3] Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China
基金
中国国家自然科学基金;
关键词
Research collaboration; Network analysis; Co-authoring community; Centrality measure; Tourism research; NETWORK; SCIENCE;
D O I
10.1016/j.tmp.2019.100607
中图分类号
F [经济];
学科分类号
02 ;
摘要
Research on collaboration relationships among researchers assists in understanding scientific information dissemination. Network analysis has been used in many studies on collaboration. However, understanding the coauthoring communities in collaboration networks and identifying their key researchers generally remain unexplored, although these insights can lead to an improved comprehension of collaboration relationships. The current study discovers and analyzes co-authoring communities in the collaboration networks of researchers in tourism research. Results indicate that productivities within co-authoring communities are high because of dense collaboration relationships. We also observe that location may be one of the formation reasons of co-authoring communities. Key researchers who are globally and locally important can be further identified by introducing the community centrality measure. The network robustness test demonstrates the effectiveness of this measure.
引用
收藏
页数:11
相关论文
共 32 条
[1]   Error and attack tolerance of complex networks [J].
Albert, R ;
Jeong, H ;
Barabási, AL .
NATURE, 2000, 406 (6794) :378-382
[2]  
[Anonymous], P CAUTHE 2010 CHALL
[3]  
[Anonymous], P INT C INF SYST ICI
[4]   Evolution of the social network of scientific collaborations [J].
Barabási, AL ;
Jeong, H ;
Néda, Z ;
Ravasz, E ;
Schubert, A ;
Vicsek, T .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2002, 311 (3-4) :590-614
[5]   A NETWORK ANALYSIS OF TOURISM RESEARCH [J].
Benckendorff, Pierre ;
Zehrer, Anita .
ANNALS OF TOURISM RESEARCH, 2013, 43 :121-149
[6]   Fast unfolding of communities in large networks [J].
Blondel, Vincent D. ;
Guillaume, Jean-Loup ;
Lambiotte, Renaud ;
Lefebvre, Etienne .
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2008,
[7]   Temporal Analysis of Tourism Research Collaboration Network [J].
Fan, Wei ;
Li, Gang ;
Law, Rob .
JOURNAL OF HOSPITALITY & TOURISM RESEARCH, 2017, 41 (06) :643-672
[8]   Community detection in networks: A user guide [J].
Fortunato, Santo ;
Hric, Darko .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2016, 659 :1-44
[9]   Community detection in graphs [J].
Fortunato, Santo .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2010, 486 (3-5) :75-174
[10]   Collaboration in Computer Science: A Network Science Approach [J].
Franceschet, Massimo .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2011, 62 (10) :1992-2012