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.
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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|
|Date :||July 2012|
|Related URLs :|
|Depositing User :||Symplectic Elements|
|Date Deposited :||05 Jun 2013 16:28|
|Last Modified :||26 Jul 2016 10:02|
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