Degree distributions of evolving networks
D.-N. Shi, Liming Liu, Stuart X. Zhu, Haijing Zhou
Abstract
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D.-N. Shi, Liming Liu, Stuart X. Zhu, Haijing Zhou
Abstract
Open-access reader
In this paper, we propose a simple evolving network model with link and node removals as well as additions and show that this evolving network is scale free with a degree exponent varying in (1,4] depending on the network parameter values. By establishing a relation between the network evolution and a set of non-homogeneous birth-and-death processes, we develop an efficient algorithm to compute the network degree distribution. Our numerical results match simulation well and show how the network evolves into the scale-free state.
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In this paper, we propose a simple evolving network model with link and node removals as well as additions and show that this evolving network is scale free with a degree exponent varying in (1,4] depending on the network parameter values. By establishing a relation between the network evolution and a set of non-homogeneous birth-and-death processes, we develop an efficient algorithm to compute the network degree distribution. Our numerical results match simulation well and show how the network evolves into the scale-free state.
Key concepts: Degree (music), Degree distribution, Statistical physics, Mathematics, Complex network, Physics, Combinatorics, Acoustics