Open AccessVisualization of the Chinese academic web based on social network analysis
Author(s) -
Bo Yang,
Zhihui Liu,
Joseph Meloche
Publication year - 2010
Publication title -
journal of information science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.499
H-Index - 64
eISSN - 1741-6485
pISSN - 0165-5515
DOI - 10.1177/0165551509353373
Subject(s) - betweenness centrality , social network analysis , subject (documents) , mainland china , relation (database) , visualization , computer science , world wide web , link analysis , social network (sociolinguistics) , webometrics , data science , china , social media , geography , data mining , centrality , mathematics , statistics , archaeology
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.
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