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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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Proceedings ArticleDOI

Almost linear-time algorithms for adaptive betweenness centrality using hypergraph sketches

TL;DR: This paper presents a method that directly solves the task of choosing the k vertices with the maximum adaptive betweenness centrality without considering the shortest paths that have been taken into account by already-chosen vertices, and theoretically and experimentally proves that this method is very accurate and three orders of magnitude faster than previous methods.
Journal ArticleDOI

Six challenges in modelling for public health policy

TL;DR: There are a number of challenges in achieving a successful interface between modelling and public health, and this work discusses some of these challenges.
Journal ArticleDOI

Dynamical Macroprudential Stress Testing Using Network Theory

TL;DR: Using network theory, the authors developed a dynamic model to reveal the systemic structure of a banking system, to analyze its sensibility to external shocks and to evaluate the presence of contagious underlying features of the system.
Journal ArticleDOI

Preferential attachment in sexual networks

TL;DR: The PA model is modified to account for individual heterogeneity in the inclination to find new partners and fitted to Norwegian survey data on heterosexual men and women, showing evidence of nonrandom, sublinear PA when comparing the growth in 3- to 5-year periods.
Journal ArticleDOI

Social network visualization in epidemiology

TL;DR: A better understanding of the processes that determine how networks form and how they operate with respect to the spread of behavior holds promise for improving public health.
References
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Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Journal ArticleDOI

Emergence of Scaling in Random Networks

TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Journal ArticleDOI

Statistical mechanics of complex networks

TL;DR: In this paper, a simple model based on the power-law degree distribution of real networks was proposed, which was able to reproduce the power law degree distribution in real networks and to capture the evolution of networks, not just their static topology.
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.
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