Paper
3 January 2007 Simulation and measurement of a two-stage complex network model
Hongwei Luo, Kathy Horadam
Author Affiliations +
Proceedings Volume 6417, Complexity and Nonlinear Dynamics; 64170B (2007) https://doi.org/10.1117/12.703628
Event: SPIE Smart Materials, Nano- and Micro-Smart Systems, 2006, Adelaide, Australia
Abstract
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongwei Luo and Kathy Horadam "Simulation and measurement of a two-stage complex network model", Proc. SPIE 6417, Complexity and Nonlinear Dynamics, 64170B (3 January 2007); https://doi.org/10.1117/12.703628
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Modeling

Systems modeling

Mathematical modeling

Internet

Numerical simulations

Computer simulations

Social networks

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