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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 impact of contact structure on infectious disease control: influenza and antiviral agents

TL;DR: Simulation of contact structure in networks with variable degree distributions implies that the various contact networks' degree distributions as well as the allocation of contagiousness between close and casual contacts should be examined to identify appropriate strategies of disease control measures.
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Power-law models for infectious disease spread

TL;DR: In this paper, a power-law decay of spatial interaction is embedded into the epidemic component and estimated jointly with all other unknown parameters using (penalised) likelihood inference, which is reasonably close to alternative qualitative formulations, where distance and order of neighbourhood, respectively, are treated as a factor.
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Fractal and multifractal analyses of bipartite networks.

TL;DR: The results indicate that the multifractality exists in those bipartite networks possessing fractality, and modified algorithms are feasible and can effectively uncover the self-similarity structure of these edge-weighted bipartites networks and their corresponding node- Weighted versions.
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Structure of sexual networks determines the operation of sexual selection.

TL;DR: It is shown that mating assortment is highly variable in nature and simulations reveal that such variation plays a key—but so far unappreciated—role in determining the strength of sexual selection on males, and that jointly considering sexual network structure and average polyandry more precisely describes the strengthof sexual selection.
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Specialisation and wealth inequality in a model of a clustered economic network

TL;DR: The authors presented an agent-based model of specialization, exchange and inequality within a clustered social network, with implications for the economic effect that contact with colonizing groups may have had on prehistoric indigenous populations.
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