A comparison of two methods for modeling large-scale data from time series as complex networks
In this paper, we compare two methods of mapping time series data to complex networks based on correlation coefficient and distance, respectively. These methods make use of two different physical aspects of large-scale data. We find that the method based on correlation coefficient cannot distinguish...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2011-03-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/1.3556121 |