Journal
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
Volume 61, Issue 9, Pages 1824-1841Publisher
WILEY
DOI: 10.1002/asi.21353
Keywords
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Funding
- National Basic Research Program of China [2003CB317000]
- Ministry of Science and Technology of China [2006DFA11970]
- National High Technology Research and Development Program of China [2007AA12Z220]
- National Science Foundation of China [60773057, 60703018]
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Network structure analysis plays an important role in characterizing complex systems. Different from previous network centrality measures, this article proposes the topological centrality measure reflecting the topological positions of nodes and edges as well as influence between nodes and edges in general network. Experiments on different networks show distinguished features of the topological centrality by comparing with the degree centrality, closeness centrality, betweenness centrality, information centrality, and Page Rank. The topological centrality measure is then applied to discover communities and to construct the backbone network. Its characteristics and significance is further shown in e-Science applications.
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