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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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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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Posted Content

Structure and Time-Evolution of the Internet Community pussokram.com

TL;DR: In contrast to earlier analyses of scientific collaboration networks, mixing between vertices is found to be disassortative and both the evolutionary trajectories of the average geodesic length and of the clustering coefficients have minima.
Proceedings ArticleDOI

A mobility model for the realistic simulation of social context

TL;DR: GeSoMo (General Social Mobility Model), a new SMM that separates the core mobility model from the structural description of the social network underlying the simulation, is presented, which gives GeSoMo generalizing power.
Proceedings ArticleDOI

Control of an HIV epidemic among injection drug users: simulation modeling on complex networks

TL;DR: It is found that syringe sharing, HIV testing, and retention in treatment significantly impact HIV prevalence, and close connections between syringesharing and sexual networks deserve attention as important avenues for rapid HIV transmission.

Circuits as a Classifier for Small-World Network Models

A. Leist, +1 more
TL;DR: It is shown how the number of circuits present can increase or decrease with a larger probability of small-world short- cut links applied, depending upon which model is used.
Journal ArticleDOI

Quantifying Human Engagement into Playful Activities

TL;DR: This work analyzes the behavior of millions of players of casual video games and discovers a scaling law governing the engagement dynamics and finds that there is a phase transition between the standard case where all individuals eventually quit the activity and another phase where a finite fraction of individuals never abandon the activity.
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