A likelihood based framework for assessing network evolution models tested on real network data
arXiv:1303.6794 · doi:10.1145/1610304.1610306
Abstract
This paper presents a statistically sound method for using likelihood to assess potential models of network evolution. The method is tested on data from five real networks. Data from the internet autonomous system network, from two photo sharing sites and from a co-authorship network are tested using this framework.
Presented at ACM/SIMPLEX '09 Workshop, ACM/SIMPLEX '09 Proceedings of the 1st Annual Workshop on Simplifying Complex Network for Practitioners 2009