SPECIAL ISSUE: Progress in Statistical and Nonlinear Physics: Proceedings of the First Cross Taiwan-Strait Conference on Statistical Physics; Editors: Chin-Kun Hu, Zhong-Can Ou-Yang, Bambi Hu and Bing-Hong WangNo Access

EVOLVING NETWORKS DRIVEN BY NODE DYNAMICS

ZHENGPING FAN

Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, P. R. China

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and

GUANRONG CHEN

Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, P. R. China

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https://doi.org/10.1142/S0217979204025634Cited by:9 (Source: Crossref)

Abstract

In this paper, a new model of evolving networks is proposed based on the dynamical behaviors of nodes in the network. The probability that an existing node in the current network receives a new link from the newly added node is proportional to the defined "activity" of that particular node, which is equivalent to the energy signal of the system from a control theory point of view. This network is found to have the scale-free feature with the degree distribution in a power-law form. This model provides another explanation for the emergence of scale-free networks in many real-world examples.

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