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

Submitted by richard on Tue, 10/20/2009 - 00:00
Richard G. Clegg, Raul Landa, Uli Harder and Miguel Rio
SIMPLEX Workshop at NetSci
Year
2009
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 ve 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.
Description

This paper describes FETA a method for analysing the likelihood of a particular network topology growing from a given statistical model.

Preprint
bibtex
@inproceedings{likelihood_feta_2009,
author = {Clegg, Richard G. and Landa, Raul and Rio, Miguel and Harder, Uli},
title = {A likelihood based framework for assessing network evolution models tested on real network data},
booktitle = {Proceedings of the 1st Annual Workshop on Simplifying Complex Network for Practitioners},
series = {SIMPLEX '09},
year = {2009}
pages = {2:1--2:6},
articleno = {2},
numpages = {6},
url = {http://doi.acm.org/10.1145/1610304.1610306},
doi = {10.1145/1610304.1610306},
acmid = {1610306},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {likelihood models, network evolution, network topologies},
}
doi
doi://10.1145/1610304.1610306
Paper type
Subject area