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Recently, self-similarity of complex networks have attracted much attention.Fractal dimension of complex network is an open issue. Hub repulsion plays animportant role in fractal topologies. This paper models the repulsion among thenodes in the complex networks in calculation of the fractal dimension of thenetworks. The Coulomb's law is adopted to represent the repulse between twonodes of the network quantitatively. A new method to calculate the fractaldimension of complex networks is proposed. The Sierpinski triangle network andsome real complex networks are investigated. The results are illustrated toshow that the new model of self-similarity of complex networks is reasonableand efficient.

Modelling the Self-similarity in Complex Networks Based on Coulomb's Law