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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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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.
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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.
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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.
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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.
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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 number of recent sex partners among bisexual men in the United States

TL;DR: The way in which bisexuality relates to men's number of recent sex partners depends on how sexual orientation is measured, and interventions to reduce behaviorally bisexual men'sNumber of partners will likely lessen their risk for HIV and other STDs.
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Emergence and Robustness of a Community Discussion Network on Mercury Contamination and Health in the Brazilian Amazon

TL;DR: Although the network exhibits a structure likely to favor an efficient flow of information, results show that specific actions should be taken to stimulate the emergence of a pool of opinion leaders and increase the redundancy of discussion channels.
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Modelling the performance of isoniazid preventive therapy for reducing tuberculosis in HIV endemic settings: the effects of network structure

TL;DR: A new co-network model for HIV and TB co-epidemics is presented and it is found that populations with clustering of respiratory contacts experience aggregation of TB cases and high numbers of re-infection events, implying that as IPT programmes are brought to scale, they should expect local heterogeneity of effectiveness as a result of the complex patterns of disease transmission within communities.
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A gene fusion network in human neoplasia

TL;DR: The results indicate that the complex system of pairwise interacting genes leading to neoplasia is governed by a universal principle, conforming to the distributions found in naturally occurring networks such as the Internet and social or ecological networks.
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An algorithm generating random graphs with power law degree distributions

TL;DR: In this paper, a simple random process is proposed to generate various types of random graphs and the scale-free random graphs among others, which is of a threshold nature and differs from the preferential attachment approach discussed in the literature before.
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