2010Journal of Hebei University of TechnologyRequires access

Stability Analysis of a Random Growing Network Model

Liu Xin-ru

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Abstract

The degree sequence of a random graph with both random and preferential attachment is studied.Based on the Stolz theorem,a rigorous and simple method for studying degree sequence of network models is proposed.It is found that the degree distribution follows power-law with degree exponent changing from 3 to.Moreover,we generalize the model to add variable number of edges at each time step,also get similar results.

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What this paper is about

The degree sequence of a random graph with both random and preferential attachment is studied.Based on the Stolz theorem,a rigorous and simple method for studying degree sequence of network models is proposed.It is found that the degree distribution follows power-law with degree exponent changing from 3 to.Moreover,we generalize the model to add variable number of edges at each time step,also get similar results.

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Available abstract

The degree sequence of a random graph with both random and preferential attachment is studied.Based on the Stolz theorem,a rigorous and simple method for studying degree sequence of network models is proposed.It is found that the degree distribution follows power-law with degree exponent changing from 3 to.Moreover,we generalize the model to add variable number of edges at each time step,also get similar results.

Key concepts: Degree distribution, Degree (music), Exponent, Random graph, Mathematics, Sequence (biology), Preferential attachment, Simple (philosophy)

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