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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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Book ChapterDOI

Resilience of Stock Cross-Correlation Network to Random Breakdown and Intentional Attack

TL;DR: This network constructed by the correlation coefficients between stocks which are listed in the Vietnamese stock exchanges is scale-free, having connectivity distribution with a relatively low power exponent of \(\gamma \sim 1.0\) that makes it robust even under intentional attacks.
Journal ArticleDOI

An improved local immunization strategy for scale-free networks with a high degree of clustering

TL;DR: An improved local immunization strategy based on node’s clustering which was seldom considered in the existing immunization strategies is proposed, which can be regarded as a compromise between computational complexity and immune effect and widely applied in scale-free networks of high clustering.
Journal ArticleDOI

Modeling the Intervention of HIV Transmission across Intertwined Key Populations.

TL;DR: A 2-layer social network framework is proposed to simulate the HIV transmissions across female sex workers and persons who inject drugs through two behaviors: unprotected sex and needle-sharing and a set of intervention strategies based on the topological properties of individuals in the social network are proposed.

Title: AVOIDING THE CYBER PANDEMIC: A Public Health Approach to Preventing Malware Propagation

Kim Zelonis
TL;DR: This document summarizes current capabilities, research and operational priorities, and plans for further studies that were established at the 2015 USGS workshop on quantitative hazard assessments of earthquake-triggered landsliding and liquefaction in the Czech Republic.
Journal ArticleDOI

A Model of Spatially Constrained Social Network Dynamics

TL;DR: A dynamic model of social network formation and maintenance that exhibits the characteristic features of real-world social networks such as community structure, high clustering, positive degree assortativity, and short characteristic path length is presented.
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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