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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A simple and exact Laplacian clustering of complex networking phenomena: Application to gene expression profiles
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Identifying the borders of mathematical knowledge
Filipi Nascimento Silva,Bruno A. N. Travençolo,Matheus P. Viana,Luciano da Fontoura Costa,Luciano da Fontoura Costa +4 more
TL;DR: A web of mathematical theorems from Wikipedia is derived and, thanks to the powerful concept of entropy, its more central and frontier elements are identified, allowing further insights about the organization of this network, such as its highly modular structure.
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Evolution of vocabulary on scale-free and random networks
TL;DR: The evolution of the vocabulary of a group of individuals (linguistic agents) on a scale-free network is examined, using Monte Carlo simulations and assumptions from evolutionary game theory to find it is not necessary to learn the entire vocabulary available.
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Weighting for sex acts to understand the spread of STI on networks.
TL;DR: This work develops a framework that allows us to weight any sexual network based on biological assumptions and indicates that STI spreading on the resulting weighted networks do not have heterogeneous-related properties, which is consistent with data and earlier studies.
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Optimizing HIV Interventions for Multiplex Social Networks via Partition-Based Random Search
TL;DR: A new random search method, named partition-based random search with network and memory prioritization (PRS-NMP), to identify the optimal subset of high-value individuals in the social network for interventions to effectively reduce the scale of HIV transmissions.
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