Dynamic Network Models
Probability
2015-03-19 v1 Discrete Mathematics
Abstract
We analyze random networks that change over time. First we analyze a dynamic Erdos-Renyi model, whose edges change over time. We describe its stationary distribution, its convergence thereto, and the SI contact process on the network, which has relevance for connectivity and the spread of infections. Second, we analyze the effect of node turnover, when nodes enter and leave the network, which has relevance for network models incorporating births, deaths, aging, and other demographic factors.
Cite
@article{arxiv.1103.2843,
title = {Dynamic Network Models},
author = {Benjamin Armbruster and John Gunnar Carlsson},
journal= {arXiv preprint arXiv:1103.2843},
year = {2015}
}
Comments
16 pages, 1 figure