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Open AccessJournal ArticleDOI

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.

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Citations
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Journal ArticleDOI

The Structure and Function of Complex Networks

Mark Newman
- 01 Jan 2003 - 
TL;DR: Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
Journal ArticleDOI

Complex networks: Structure and dynamics

TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.
Journal ArticleDOI

Statistical physics of social dynamics

TL;DR: In this article, a wide list of topics ranging from opinion and cultural and language dynamics to crowd behavior, hierarchy formation, human dynamics, and social spreading are reviewed and connections between these problems and other, more traditional, topics of statistical physics are highlighted.
Journal ArticleDOI

Evolution of networks

TL;DR: The recent rapid progress in the statistical physics of evolving networks is reviewed, and how growing networks self-organize into scale-free structures is discussed, and the role of the mechanism of preferential linking is investigated.
Journal ArticleDOI

Epidemic processes in complex networks

TL;DR: A coherent and comprehensive review of the vast research activity concerning epidemic processes is presented, detailing the successful theoretical approaches as well as making their limits and assumptions clear.
References
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Journal ArticleDOI

The network of sheep movements within Great Britain: network properties and their implications for infectious disease spread

TL;DR: Using the network properties, it is shown that targeted biosecurity or surveillance at highly connected nodes would be highly effective in preventing a large and widespread epidemic.
Journal ArticleDOI

A Model For Social Networks

TL;DR: This work presents a model for an undirected growing network which reproduces characteristics of a social network, with the aim of producing efficiently very large networks to be used as platforms for studying sociodynamic phenomena.
Journal ArticleDOI

Information dynamics shape the sexual networks of Internet-mediated prostitution

TL;DR: From the temporal, bipartite network of posts, a full feedback loop in which high grades on previous posts affect the future commercial success of the sex worker, and vice versa is found, and a peculiar growth pattern in which the turnover of community members and sex workers causes a sublinear preferential attachment.
Book ChapterDOI

Epidemic spreading in complex networks with degree correlations

TL;DR: In this article, the authors review the behavior of epidemic spreading on complex networks in which there are explicit correlations among the degrees of connected vertices, and present a model for epidemic spreading in complex networks.
Journal ArticleDOI

Truncation of power law behavior in "scale-free" network models due to information filtering.

TL;DR: A general model for the growth of scale-free networks under filtering information conditions-that is, when the nodes can process information about only a subset of the existing nodes in the network-is formulated.
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