scispace - formally typeset
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.

read more

Citations
More filters
Posted Content

Dynamics of social networks

TL;DR: A simple model for the evolution of acquaintance networks highlights the essential dynamical ingredients necessary to obtain such complex network structures and generates highly clustered networks with small average path lengths and scale-free as well as exponential degree distributions.
Journal ArticleDOI

Social networks: Sexual contacts and epidemic thresholds.

TL;DR: The findings support the conventional wisdom that epidemic thresholds exist in these populations, and indicate that current public-health strategies to reduce the spread of HIV and other sexually transmitted infections do not need to be radically refocused.
Journal ArticleDOI

Nonperturbative heterogeneous mean-field approach to epidemic spreading in complex networks.

TL;DR: This work proposes a nonperturbative formulation of the heterogeneous mean-field approach that has been commonly used in the physics literature to deal with epidemic spreading phenomena, and develops a probabilistic description at the node level of the epidemic propagation for the so-called susceptible-infected-susceptible family of models.
Journal ArticleDOI

Simple epidemiological dynamics explain phylogenetic clustering of HIV from patients with recent infection.

TL;DR: It is demonstrated that virus from recent infections tend to be phylogenetically clustered at a greater rate than virus from patients with chronic infection and also tend to cluster with other recent HIV infections rather than chronic, established infections (‘excess co-clustering’), consistent with previous reports.
Book ChapterDOI

Attacks and cascades in complex networks

TL;DR: The investigation of a mechanism leading to cascades of overload failures in complex networks by constructing a simple model incorporating the flow of physical quantities in the network leads to the finding that many scale-free networks are more sensitive to attacks on short-range than on long-range links.
References
More filters
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.
Related Papers (5)