Paper
To Form a Smaller World in the Research Realm of Hierarchical Decision Models
- Authors:
- Xiaotian Yao; Bing Wang
- Abstract
- People use hierarchical decision models (HDMs) in industrial and academic fields. The closer collaborative relationships among the researchers have the world of research in HDM shrinking. We want to identify the clusters of the researchers and the central member of them in order to build up connection, trying to make the new research widely known and the collaboration done. The social network analysis method is employed to analyze the network of HDM researchers who are connected by co-authorship in the selected papers. We find out the most important researchers with the highest degree centralities and publication frequencies; we also identify the core researchers in the Top 8 components. By acting as the “information gatekeeper” and connecting the identified researchers, the average distance between the vertices is significantly eliminated and we form a smaller world in the research realm of HDMs.
- Keywords
- Social Network Analysis; Small World; Co-Authorship; Hierarchical Decision Models; Analytical Hierarchy Process
- StartPage
- 129
- EndPage
- 136
- Doi