Relating Network Structure to Diffusion Properties through Stochastic Dominance

We examine the spread of a disease or behavior through a social network. In particular, we analyze how infection rates depend on the distribution of degrees (numbers of links) among the nodes in the network. We introduce new techniques using first- and second order stochastic dominance relationships of the degree distribution in order to compare infection rates across different social networks.

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Year of publication:	2007
Authors:	Jackson, Matthew ; Rogers, Brian
Published in:	Advances in Theoretical Economics. - Berkeley Electronic Press. - Vol. 7.2007, 1, p. 1341-1341
Publisher:	Berkeley Electronic Press
Subject:	diffusion \| infection \| SIS \| networks \| social networks

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Extent:	application/pdf
Type of publication:	Article
Notes:	oai:bepress:bejte-1341
Classification:	D85 - Network Formation
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005086847