title: Geometric assortative growth model for small-world networks.
abstract: 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.
authors.affiliation: Singapore University of Technology and Design, Singapore 138682 ; Institute for Cyber Security, University of Texas at San Antonio, TX 78249, USA.
authors.forename: Yilun
authors.identifier: 0000-0002-2817-3400
authors.initials: Y
authors.lastname: Shang
mesh_terms: D055641:Mathematical Concepts