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Degree Distributions in Sexual Networks: A Framework for Evaluating Evidence

OBJECTIVE: We present a likelihood based statistical framework to test the fit of power-law and alternative social process models for the degree distribution, and derive the sexually transmitted infection epidemic predictions from each model. STUDY DESIGN: Five surveys from the United States are ana...

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Detalhes bibliográficos
Publicado no:Sex Transm Dis
Main Authors: Hamilton, Deven T., Handcock, Mark S., Morris, Martina
Formato: Artigo
Idioma:Inglês
Publicado em: 2008
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4370286/
https://ncbi.nlm.nih.gov/pubmed/18217224
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