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

Paper type: 
Workshop paper
Richard G. Clegg, Raul Landa, Uli Harder and Miguel Rio
SIMPLEX Workshop at NetSci, 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
Subject area: