Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Graph Theory and Its Applications, Second Edition (Discrete Mathematics and Its Applications)
Graph Theory and Its Applications, Second Edition (Discrete Mathematics and Its Applications)
A tutorial on spectral clustering
Statistics and Computing
Research groups of oncology co-authorship network in China
Scientometrics
The SAGE Handbook of Social Network Analysis
The SAGE Handbook of Social Network Analysis
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Nowadays, academic collaboration has become more prevalent and crucial than ever before and many studies of academic collaboration analysis are implemented based on coauthor ship networks. This paper aims to build a novel coauthor ship network by importing field of research codes based on Newman's model, and then analyze and extract research groups via spectral clustering. In order to explain the effectiveness of this revised network, we take the academic collaboration at the University of Technology, Sydney (UTS) as an example. The result of this study advances methods for selecting the most prolific research groups and individuals in research institutions, and provides scientific evidence for policymakers to manage laboratories and research groups more efficiently in the future.