RETRACTED ARTICLE: Modified box dimension and average weighted receiving time on the weighted fractal networks

Abstract

In this paper a family of weighted fractal networks, in which the weights of edges have been assigned to different values with certain scale, are studied. For the case of the weighted fractal networks the definition of modified box dimension is introduced, and a rigorous proof for its existence is given. Then, the modified box dimension depending on the weighted factor and the number of copies is deduced. Assuming that the walker, at each step, starting from its current node, moves uniformly to any of its nearest neighbors. The weighted time for two adjacency nodes is the weight connecting the two nodes. Then the average weighted receiving time (AWRT) is a corresponding definition. The obtained remarkable result displays that in the large network, when the weight factor is larger than the number of copies, the AWRT grows as a power law function of the network order with the exponent, being the reciprocal of modified box dimension. This result shows that the efficiency of the trapping process depends on the modified box dimension: the larger the value of modified box dimension, the more efficient the trapping process is.

Eigenvalues of transition weight matrix and eigentime identity of weighted network with two hub nodes

“…In this paper, intuited by the weight driven networks [10] and the weighted networks with weight factor [12,13,14], the weighted network with two hub nodes is built. We study analytically the eigentime identity for normalized Laplacian matrix of weighted network with two hub nodes carrying a weight factor.…”