TY - JOUR
T1 - Exact eigenvalue spectrum of a class of fractal scale-free networks
AU - Zhang, Zhongzhi
AU - Hu, Zhengyi
AU - Sheng, Yibin
AU - Chen, Guanrong
PY - 2012/7
Y1 - 2012/7
N2 - The eigenvalue spectrum of the transition matrix of a network encodes important information about its structural and dynamical properties. We study the transition matrix of a family of fractal scale-free networks and analytically determine all the eigenvalues and their degeneracies. We then use these eigenvalues to evaluate the closed-form solution to the eigentime for random walks on the networks under consideration. Through the connection between the spectrum of transition matrix and the number of spanning trees, we corroborate the obtained eigenvalues and their multiplicities. Copyright © EPLA, 2012.
AB - The eigenvalue spectrum of the transition matrix of a network encodes important information about its structural and dynamical properties. We study the transition matrix of a family of fractal scale-free networks and analytically determine all the eigenvalues and their degeneracies. We then use these eigenvalues to evaluate the closed-form solution to the eigentime for random walks on the networks under consideration. Through the connection between the spectrum of transition matrix and the number of spanning trees, we corroborate the obtained eigenvalues and their multiplicities. Copyright © EPLA, 2012.
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U2 - 10.1209/0295-5075/99/10007
DO - 10.1209/0295-5075/99/10007
M3 - RGC 21 - Publication in refereed journal
SN - 0295-5075
VL - 99
JO - EPL
JF - EPL
IS - 1
M1 - 10007
ER -