Tourism Research Co-authorship Networks in China
Bibliographic Data
| ID | 12974397 |
|---|---|
| Authors | Jiekuan Zhang (0000-0002-0598-0584, corresponding author) |
| Year | 2015 |
| Volume | 11 |
| Issue | 4 |
| Pages | 424-439 |
| Publication date | 2015-10-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of China Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 1938-8160 • E-ISSN: 1938-8179 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/19388160.2015.1108889 |
| OpenAlex | W2176038961 |
| Language | EN |
| Citations received | 4 |
| References cited | 40 |
The primary objective of this study is to explore the patterns of collaborations in the tourism research community in China. The study reveals that co-authorship is fast-growing over the past 10 years. Using a common binary undirectional network model, this paper explores some network characteristics of the tourism research co-authorship network in China (TRCNC) and discusses the significance of the results. The results show that the TRCNC is typically a complex network with scale-free and small-world properties. The analyses of density and centrality indicate loose collaborations and a clear “leading scholars” phenomenon in the TRCNC. Clique analysis shows that there are lots of academic teams in tourism research in China in which scholars collaborate closely but out of which the scientific collaboration is less. In the TRCNC, those whose networks bridge structural holes are all well-known scholars in China, which is beneficial for making academic factions flourish while maybe incurring sluggish academic innovation ability
Academic community · Bridge (graph theory · Business · Centrality · China · Clique · Economic geography · Geography · Political science · Regional science · Scale (ratio · Social science · Sociology · Structural holes · Tourism · Complex Network Analysis Techniques · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Law · Marketing
Social Network Analysis
Structural Holes
A Method of Matrix Analysis of Group Structure
Scientific collaboration networks. I. Network construction and fundamental results
Co-authorship networks and research impact
Knowledge Spillovers and Patent Citations
Research collaboration and productivity
The structure of scientific collaboration networks
Collective dynamics of ‘small-world’ networks
Emergence of Scaling in Random Networks
Centrality in social networks conceptual clarification
The use of different data sources in the analysis of co-authorship networks and scientific performance
A measure of betweenness centrality based on random walks
A social network perspective of tourism research collaborations
An authorship analysis of tourism research
Patterns of co-authorship in international epidemiology
Scientific authorship in the age of collaborative research
A Set of Measures of Centrality Based on Betweenness
Intellectual Collaboration
A Network Analysis of Tourism Research
The Structure of a Social Science Collaboration Network
Structural Holes and Good Ideas
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,44 |
| Citation span | 2017 - 2025 (9) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |