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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
$1/f^{alpha}$-noise or $1/f^{alpha}$-phenomenon is widely considered as the signature of complexity. We demonstrate the existence of this phenomenon in various model networks, namely random, small-world, scale-free complex networks. Taking the eigenvalues of the adjacency matrix as a discrete time series, the Fourier power spectrum of the fluctuations of these eigenvalues are analyzed in terms of their frequency. An approximately $1/f^{2}$ type power-law behavior is found in these model networks. We also present our analysis for the real-world interconnected electrical power grid. Our present work provides a new perspective to understand the complex network structures.