Growing multiplex networks
Physics and Society
2013-08-01 v3 Disordered Systems and Neural Networks
Social and Information Networks
Abstract
We propose a modeling framework for growing multiplexes where a node can belong to different networks. We define new measures for multiplexes and we identify a number of relevant ingredients for modeling their evolution such as the coupling between the different layers and the arrival time distribution of nodes. The topology of the multiplex changes significantly in the different cases under consideration, with effects of the arrival time of nodes on the degree distribution, average shortest paths and interdependence.
Cite
@article{arxiv.1302.7126,
title = {Growing multiplex networks},
author = {Vincenzo Nicosia and Ginestra Bianconi and Vito Latora and Marc Barthelemy},
journal= {arXiv preprint arXiv:1302.7126},
year = {2013}
}
Comments
5 pages, 3 figures (main text) + 12 pages, 6 figures (appendix)