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Spectral density of complex network can reflect network's structural properties. After the comparison of WS ‘small-world’ networks, ER random networks, BA ‘scale-free’ networks and CNN networks with different parameters and scales, the shapes of spectral density curves perform very strong clustering features. Based on these results, this paper proposes a novel method analyzing the similarity of network...
This paper describes a method that transforms audio signal from sing voice into complex network. First, we construct complex networks from audio signal, with each frame represented by a single node in the network. We investigate the statistical properties of these networks for different music and find that different music has very similar statistical properties. Therefore standard measures of structure...
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