A likelihood based framework for assessing network evolution models tested on real network data

Authors:
Richard G. Clegg;Raul Landa;Miguel Rio;Uli Harder
Affiliations:
University College London, London, UK;University College London, London, UK;University College London, London, UK;Imperial College London, London, UK
Venue:
Proceedings of the 1st Annual Workshop on Simplifying Complex Network for Practitioners
Year:
2009

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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.