1. Power-law link strength distribution in paper cocitation networks.
- Author
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Zhao, Star X. and Ye, Fred Y.
- Subjects
- *
INFORMATION science , *RESEARCH funding , *STATISTICS , *DATA analysis , *CITATION analysis - Abstract
A network is constructed by nodes and links, thus the node degree and the link strength appear as underlying quantities in network analysis. While the power-law distribution of node degrees is verified as a basic feature of numerous real networks, we investigate whether the link strengths follow the power-law distribution in weighted networks. After testing 12 different paper cocitation networks with 2 methods, fitting in double-log scales and the Kolmogorov-Smirnov test ( K- S test), we observe that, in most cases, the link strengths also follow the approximate power-law distribution. The results suggest that the power-law type distribution could emerge not only in nodes and informational entities, but also in links and informational connections. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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