2021
DOI: 10.1007/s41109-020-00348-1
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Generating a heterosexual bipartite network embedded in social network

Abstract: We describe an approach to generate a heterosexual network with a prescribed joint-degree distribution embedded in a prescribed large-scale social contact network. The structure of a sexual network plays an important role in how all sexually transmitted infections (STIs) spread. Generating an ensemble of networks that mimics the real-world is crucial to evaluating robust mitigation strategies for controlling STIs. Most of the current algorithms to generate sexual networks only use sexual activity data, such a… Show more

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Cited by 1 publication
(1 citation statement)
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“…Similar to the approach in Azizi et al 9 , we constructed a closed 5000-member synthetic population, where the heterosexual partnerships were represented by bipartite sexual networks. The heterosexual networks reflected the assortative mixing pattern among our targeted population by matching the population-level quantities from two surveys in New Orleans: the ongoing Check It study 7 and the "You Geaux Girl!"…”
Section: Generation Of a Synthetic Population Over Dynamic Sexual Net...mentioning
confidence: 99%
“…Similar to the approach in Azizi et al 9 , we constructed a closed 5000-member synthetic population, where the heterosexual partnerships were represented by bipartite sexual networks. The heterosexual networks reflected the assortative mixing pattern among our targeted population by matching the population-level quantities from two surveys in New Orleans: the ongoing Check It study 7 and the "You Geaux Girl!"…”
Section: Generation Of a Synthetic Population Over Dynamic Sexual Net...mentioning
confidence: 99%