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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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Journal ArticleDOI

Correlations, hierarchies and networks of the world’s automotive companies

TL;DR: The results show that some companies are more important within the network, due to a tighter connection with other companies, and find that these important companies play a predominant role in the world’s automotive industry.
Book ChapterDOI

Spreading Dynamics Following Bursty Activity Patterns

TL;DR: It is demonstrated that the non-Poisson nature of the contact dynamics results in prevalence decay times significantly larger than predicted by the standard Poisson process based models.
Journal ArticleDOI

Epidemic threshold and phase transition in scale-free networks with asymmetric infection

TL;DR: It is demonstrated that the asymmetry of infection plays an important role: it could redistribute theasymmetry to balance the degree heterogeneity of the network and then to restore the epidemic threshold to a fnite value.
Journal ArticleDOI

On the Peter Principle: An agent based investigation into the consequential effects of social networks and behavioural factors

TL;DR: In this article, the authors explored external factors upon varying promotion strategies to assess efficiency and found that although the Peter Principle affects efficiency, it may not be to the levels previously suggested.
Journal ArticleDOI

A Study on the Knowledge Diffusion of Communities of Practice Based on the Weighted Small-world Network

TL;DR: A relatively small characteristic relationship length and a relatively big clustering coefficient can make knowledge diffusion frequency and centralization maintain in a moderately big level in the communities of practice, which can promote effectively knowledge diffusion and then increase overall knowledge level of community.
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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