On necessary conditions for scale-freedom in complex networks,with applications to computer communication systems |
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Authors: | WJ Xiao WD Chen |
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Affiliation: | Department of Computer Science, Guangdong Key Laboratory for Computer Networks , South China University of Technology , Guangzhou 510641, P. R. China |
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Abstract: | Many complex networks exhibit a scale-free, power-law distribution of vertex degrees. This common feature is a consequence of two generic mechanisms relating to the formation of real networks: (i) networks tend to expand over time through the addition of new vertices and (ii) new vertices attach preferentially to those that are already well connected. We show that for many natural or man-made complex networks possessing a scale-free power-law distribution with the exponent γ ≥ 2, the number of degree-1 vertices, when nonzero, is of the same order as the network size N and that the average degree is of order at most log N. Our results expose another necessary characteristic of such networks. Furthermore, our method has the benefit of relying only on conditions that are static and easily verified for arbitrary networks. We use the preceding results to derive a closed-form formula approximating the distance distribution in scale-free networks. Such distributions are applied extensively in the fields of computer communication and software architecture, among other domains. |
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Keywords: | average distance biological network complex system computer network graph power-law distribution scale-free network small-world network social network |
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