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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Dror Y. Kenett,Sary Levy Carciente,Sary Levy Carciente,Adam Avakian,H. Eugene Stanley,Shlomo Havlin +5 more
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Analytic solution of a static scale-free network model
TL;DR: In this paper, the authors present a detailed analytical study of a paradigmatic scale-free network model, the Static Model, and derive analytical expressions for its main properties by using the hidden variables formalism.
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Controlling nosocomial infection based on structure of hospital social networks.
Taro Ueno,Naoki Masuda +1 more
TL;DR: In this paper, the authors simulate stochastic susceptible-infected-recovered dynamics on social networks, which are based on observations in a hospital in Tokyo, to explore effective containment strategies against nosocomial infection.