Visualization of the Chinese academic web based on social network analysis

Authors:
Bo Yang; Zhihui Liu;Joseph A. Meloche
Affiliations:
National Science Library of the Chinese Academy of Sciences,Beijing, P.R. China Graduate University of the Chinese Academy of Sciences,Beijing, P.R. China;National Science Library of the Chinese Academy of Sciences,Beijing, P.R. China Graduate University of the Chinese Academy of Sciences,Beijing, P.R. China;Department of Library and Information Studies, GraduateSchool of Education, University at Buffalo, NY, USA
Venue:
Journal of Information Science
Year:
2010

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Abstract

The top 100 university websites in mainland China have been selected as samples to explore the link relationship between their websites using principal component, multidimensional scale and social network analysis methods, such as co-link, betweenness, and k-core. These relationships reflect the characteristics of comprehensive strength, influential power and the subject types of the universities. Macroscopically, websites are typically linked for their influence, while subject/regional relations are discovered through sub-network analysis at the micro-level. The micro-level link analysis shows that subject relation, as well as geographical relation, are significant motivators for collaboration between universities.