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
Book ChapterDOI

Network Analysis of the SourceForge.net Community

TL;DR: The community network of the SourceForge.net is studied, especially the structure and evolution of the community network, to understand the Open Source Software movement and three different analyses on the network are applied, including structure analysis, centrality analysis and path analysis.
Journal ArticleDOI

Local-world evolving networks with tunable clustering

TL;DR: An extended local-world evolving network model including a triad formation (TF) step is proposed that can unify the generic properties of real-life networks: scale-free degree distribution, high clustering and small inter-node separation.
Journal ArticleDOI

Risk estimation of infectious diseases determines the effectiveness of the control strategy

TL;DR: This paper establishes two different risk assessment systems using the technique of dynamic programming, and compares the effects of the two different systems on the prevention of diseases on complex networks and shows that they can yield completely different results.
Journal ArticleDOI

The importance of including dynamic social networks when modeling epidemics of airborne infections: does increasing complexity increase accuracy?

TL;DR: Intriguingly, Stehle and colleagues found that increasing model complexity did not always increase accuracy and that the most detailed contact network and a simplified version of this network generated very similar results.
Proceedings ArticleDOI

Characterization of extremal epidemic networks with diffusion characters

TL;DR: An evolutionary computation system is used to optimizes networks with a fixed distribution of contacts to yield either long-lasting epidemics or epidemics in which a maximal number of individuals are infected in a given time step.
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)