Work

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

Year: 2009

Type: conference-paper

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.

DOI: 10.1145/1610304.1610306

Authors: Richard G. Clegg, Raul Landa, Miguel Rio, Uli Harder

Institutions: University College London, Imperial College London

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2163960043

FWCI: 0.33

Cites: 13

Cited by: 3

Related to: 10