The Web of Human Sexual Contacts
TLDR
In this article, the authors analyze data on the sexual behavior of a random sample of individuals, and find that the cumulative distributions of the number of sexual partners during the twelve months prior to the survey decays as a power law with similar exponents for females and males.Abstract:
Many ``real-world'' networks are clearly defined while most ``social'' networks are to some extent subjective. Indeed, the accuracy of empirically-determined social networks is a question of some concern because individuals may have distinct perceptions of what constitutes a social link. One unambiguous type of connection is sexual contact. Here we analyze data on the sexual behavior of a random sample of individuals, and find that the cumulative distributions of the number of sexual partners during the twelve months prior to the survey decays as a power law with similar exponents $\alpha \approx 2.4$ for females and males. The scale-free nature of the web of human sexual contacts suggests that strategic interventions aimed at preventing the spread of sexually-transmitted diseases may be the most efficient approach.read more
Citations
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Steffen B. Petersen,Steffen B. Petersen,Maria Teresa Neves-Petersen,Svend B. Henriksen,Rasmus Mortensen,Rasmus Mortensen,Henrik Marcus Geertz-Hansen +6 more
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Exploring network theory for mass drug administration
TL;DR: An understanding of local networks for analysing the distributional properties of community-directed treatment may facilitate sustainable expansion of mass drug-administration (MDA) programs.
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Quantitative metric profiles capture three-dimensional temporospatial architecture to discriminate cellular functional states.
Lindsey McKeen-Polizzotti,Kira M. Henderson,Basak Oztan,Cemal Cagatay Bilgin,Bülent Yener,George E. Plopper +5 more
TL;DR: The results demonstrate that application of the cell-graph technique to 3D image data yields discriminative metrics that have the potential to improve the accuracy of image-based tissue profiles, and thus improve the detection and diagnosis of disease.