Measuring the shape of degree distributions

Badham, J (2012) Measuring the shape of degree distributions In: RC33 Eighth International Conference on Social Science Methodology, 2012-07-09 - 2012-07-13, Sydney, Australia.

Preview	PDF (licence) SRI_deposit_agreement.pdf Download (33kB)
Preview	PDF RC33 Gini.pdf Available under License : See the attached licence file. Download (323kB)

Abstract

The distribution of degree in real world networks is generally highly skewed. Network researchers with different disciplinary backgrounds describe the distribution in different ways. Social scientists typically report variance, centralisation, or skewness. In contrast, mathematical physicists typically report power law exponents. In part, this difference reflects differences in the networks being examined, particularly network size, and consequent differences in distribution shape. In this presentation, I suggest that the Gini coefficient is an appropriate distribution shape measure for any network.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Arts and Social Sciences > Department of Sociology
Authors :	Authors Email ORCID Badham, J UNSPECIFIED UNSPECIFIED
Date :	July 2012
Related URLs :	Publisher
Depositing User :	Symplectic Elements
Date Deposited :	05 Jun 2013 16:28
Last Modified :	26 Jul 2016 10:02
URI:	http://epubs.surrey.ac.uk/id/eprint/771848

Actions (login required)

View Item

Downloads