Trailblazing the literature of hypertext: author co-citation analysis (1989–1998)
Proceedings of the tenth ACM Conference on Hypertext and hypermedia : returning to our diverse roots: returning to our diverse roots
Analysis of SIGMOD's co-authorship graph
ACM SIGMOD Record
Connection and stratification in research collaboration: an analysis of the COLLNET network
Information Processing and Management: an International Journal - Special issue: Informetrics
Journal of the American Society for Information Science and Technology
Peers and Spheres of Influence: Situating Rob Kling
The Information Society
Co-authorship networks in the digital library research community
Information Processing and Management: an International Journal - Special issue: Infometrics
Using Field of Research Codes to Discover Research Groups from Co-authorship Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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This paper aims at analyzing and extracting the research groups from the co-authorship network of oncology in China. By use of centrality, component analysis, K-Core, M-Slice, Hierarchical Clustering analysis, and Multidimensional Scaling analysis, we studied the data from 10 Core Chinese Oncology journals between 2000 and 2009, analyzed the structure character of the Chinese Oncology research institutes. This study advances the methods for selecting the most prolific research groups and individuals in Chinese Oncology research community, and provides basis for more productive cooperation in the future. This study also provides scientific evidences and suggestions for policymakers to establish a more efficient system for managing and financing Chinese Oncology research in the future.