Affiliation:
1. School of Mathematical Science, Beihang University, Beijing 100083, P. R. China
Abstract
In real world, many networks have self-similar structures at different length scales. In this paper, we propose a family of growing symmetrical networks based on toy-model from a deterministic initial graph. We aim to analyze its topological properties, such as the average path length, clustering coefficient and degree distribution, which uses iterative calculations and recursive methods.
Funder
National Key RD Program of China under grant
Comisión Interministerial de Ciencia y Tecnología
Publisher
World Scientific Pub Co Pte Ltd
Subject
Applied Mathematics,Geometry and Topology,Modeling and Simulation