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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References
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Journal ArticleDOI
Exact solution of infection dynamics with gamma distribution of generation intervals.
TL;DR: Analytical expressions for the infectious disease dynamics with a gamma distribution of generation intervals are derived and can be deployed to do better estimates of infectious disease parameters.
Journal ArticleDOI
The spreading dynamics of sexually transmitted diseases with birth and death on heterogeneous networks
TL;DR: A deterministic model is formulated by including the vacant sites, which represent inactive individuals or potential contacts, to investigate the spreading dynamics of sexually transmitted diseases in heterogeneous networks, and suggests that population turnover could have great impact on the sexually transmitted disease system in heterogeneity networks.
Journal ArticleDOI
Epidemic spreading on networks with vaccination
TL;DR: The proposed susceptible-infected-susceptible (SIS) model reveals that whether or not the epidemic can spread over a network under vaccination control is determined not only by the network structure but also by the medicine's effective duration.
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Insights in Climate Dynamics from Climate Networks
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