Human Sexual Contact Network as a Bipartite Graph
Statistical Mechanics
2009-11-07 v3 Disordered Systems and Neural Networks
Populations and Evolution
Abstract
A simple model to encapsulate the essential growth properties of \emph{the web of human sexual contacts} is presented. In the model only heterosexual connection is considered and represented by a random growing bipartite graph where both male-female contact networks grow simultaneously. The time evolution of the model is analysed by a rate equation approach leading to confirm that male and female sexual contact distributions decay as power laws with exponents depending on influx and charisma of the sexes.
Cite
@article{arxiv.cond-mat/0111323,
title = {Human Sexual Contact Network as a Bipartite Graph},
author = {Guler Ergun},
journal= {arXiv preprint arXiv:cond-mat/0111323},
year = {2009}
}
Comments
Corrected typos, to be published in Physica A