Geometric Assortative Growth Model for Small-World Networks

作者:Shang Yilun*
来源:The Scientific World Journal, 2014, 2014: 759391.
DOI:10.1155/2014/759391

摘要

It has been shown that both humanly constructed and natural networks are often characterized by small-world phenomenon and assortative mixing. In this paper, we propose a geometrically growing model for small-world networks. The model displays both tunable small-world phenomenon and tunable assortativity. We obtain analytical solutions of relevant topological properties such as order, size, degree distribution, degree correlation, clustering, transitivity, and diameter. It is also worth noting that the model can be viewed as a generalization for an iterative construction of Farey graphs.

  • 出版日期2014