Degree heterogeneity in spatial networks with total cost constraint

Department of Physics, University of Fribourg - Chemin du Musée 3, CH-1700 Fribourg, Switzerland

^a an.zeng@unifr.ch

Received: 12 December 2011
Accepted: 22 March 2012

Abstract

Recently, Li et al. (Phys. Rev. Lett., 104 (2010) 018701) studied a spatial network which is constructed from a regular lattice by adding long-range edges (shortcuts) with probability P_ij∼r_ij^{− α}, where r_ij is the Manhattan length of the long-range edges. The total length of the additional edges is subject to a cost constraint (). This spatial network model displays an optimal exponent α for transportation (measured by the average shortest-path length). However, we observe that the degree in such spatial networks is homogeneously distributed, which is different from some real networks. In this letter, we propose a method to introduce degree heterogeneity in spatial networks with total cost constraint. Results show that with degree heterogeneity the optimal exponent shifts to a smaller value and the average shortest-path length can further decrease. Moreover, we find the optimal degree heterogeneity for transportation. We further consider the synchronization on the spatial networks and related results are discussed. Our new model may better explain the features of real transportation systems.