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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

Contagion in an interacting economy

TL;DR: In this article, the credit risk model defined in Hatchett & Kuhn under more general assumptions, in particular using a general degree distribution for sparse graphs, is investigated, and it is shown that the model is exactly solvable in the $N\rightarrow \infty$ limit.
Journal ArticleDOI

Risk, Individual Differences, and Environment: An Agent-Based Modeling Approach to Sexual Risk-Taking

TL;DR: The models successfully simulated some characteristics of human sexual systems, such as the relationship between individual differences in sexual motivation (sexual excitation and inhibition) and sexual risk, but failed to reproduce the scale-free distribution of number of partners observed in the real world.
Dissertation

Playful networks: measuring, analysing and understanding the social effects of game design

Ben Kirman
TL;DR: It is proved that game designs, as mechanical systems, have a demonstrable effect on the social patterns of play, and that these patterns can be examined and used to engineer better game designs for the benefit of social experience.
Book ChapterDOI

Composing Music with Complex Networks

TL;DR: The network structure in music is studied and attempt to compose music artificially using sample compositions from Bach, Mozart, Chopin, as well as other types of music including Chinese pop music.
Journal ArticleDOI

On the spreading and localization of risky information in social networks

TL;DR: The fraction of initial messengers needed to inform a desired fraction of the network as a function of the average number of trusted nodes m¯ and discuss possible applications of the model also to marketing and to the spreading of a disease with very short incubation time.
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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