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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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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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Statistical physics of social dynamics

TL;DR: In this article, a wide list of topics ranging from opinion and cultural and language dynamics to crowd behavior, hierarchy formation, human dynamics, and social spreading are reviewed and connections between these problems and other, more traditional, topics of statistical physics are highlighted.
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Evolution of networks

TL;DR: The recent rapid progress in the statistical physics of evolving networks is reviewed, and how growing networks self-organize into scale-free structures is discussed, and the role of the mechanism of preferential linking is investigated.
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Epidemic processes in complex networks

TL;DR: A coherent and comprehensive review of the vast research activity concerning epidemic processes is presented, detailing the successful theoretical approaches as well as making their limits and assumptions clear.
References
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Journal ArticleDOI

Network Reconstruction and Prediction of Epidemic Outbreaks for General Group-Based Compartmental Epidemic Models

TL;DR: This work considers general compartmental epidemic models (GEMF) in discrete time, which describe the viral spread between groups of individuals and shows that the contact network cannot be reconstructed from one epidemic outbreak with any finite machine precision, although an accurate prediction of the epidemic outbreak is possible.
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Why patterns of assortative mating are key to study sexual selection and how to measure them.

TL;DR: A new method (sperm competition intensity correlation, SCIC) is developed and compared against two established methods (Newman's assortativity and nestedness) and it is concluded that SCIC may be the most promising approach, as it is both internally consistent and robust across the parameter range.
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Simulation and Relationship Strength: Characteristics of Knowledge Flows Among Subjects in a Regional Innovation System:

TL;DR: A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional Innovation system with the loosely coupled system shows that when the relationship between the subjects of the region innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupledsystem.
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Theory of networked minority games based on strategy pattern dynamics.

TL;DR: A theory of agent-based models in which agents compete to be in a winning group and the value of connectivity p above which the binary-agent-resource system with high resource levels makes the transition into the high-connectivity state is formulated.
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