Computing Publications

Publications Home » A likelihood based framework for ...

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

Richard Clegg, Raul Landa, Miguel Rio, Uli Harder

Conference or Workshop Paper
Workshop on Simplifying Complex Network for Practitioners
July, 2009
pp.1–6
ACM
ISBN 978-1-60558-704-2
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.

Keywords
Statistical analysis
AESOP
BibTEX file for the publication
 

pubs.doc.ic.ac.uk: built & maintained by Ashok Argent-Katwala.