Simulation and measurement of a two-stage complex network model

被引:0
|
作者
Luo, Hongwei [1 ]
Horadam, Kathy [1 ]
机构
[1] RMIT Univ, Sch Math & Geospatial Sci, Melbourne, Vic, Australia
来源
COMPLEXITY AND NONLINEAR DYNAMICS | 2007年 / 6417卷
关键词
complex networks; scale-free; small-world; preferential attachment;
D O I
10.1117/12.703628
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Real-world complex networks such the Internet, social networks and biological networks have increasingly attracted the interest of researchers from many areas. Accurate modelling of the statistical regularities of these large-scale networks is critical to understand their global evolving structures and local dynamical patterns. Two main families of models have been widely studied: those based on the Erdos and Renyi random graph model and those on the Barabasi-Albert scale-free model. In this paper we develop a new model: the Hybrid model, which incorporates two stages of growth. The aim of this model is to simulate the transition process between a static randomly connected network and a growing scale-free network through a tuning parameter. We measure the Hybrid model by extensive numerical simulations, focusing on the critical transition point from Poisson to Power-law degree distribution.
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页数:10
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