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| Influential Spreaders in Co-author Network Based on K-shell |
| Zhang Jinzhu |
| National Science Library, Chinese Academy of Sciences, Beijing 100190, China; Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract Based on the data comes from 12 journals between 2000-2009 which contains 7 389 different authors,this paper computes the degree, betweenness centrality and K-shell and makes a comparative analysis. The results show that K-shell does better in identification of influential spreaders in co-author network. This method can be also used in co-citation network and coupling network for identification of influential spreaders.
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Received: 10 May 2012
Published: 24 July 2012
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