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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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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.
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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

Weighted bipartite network and personalized recommendation

TL;DR: It is argued that the edges weight of the user-object bipartite network should be taken into account to measure the object similarity and it is found that, at the optimal case, the edge weight distribution would change from the exponential form to the poisson form.
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Leaders in communities of real-world networks☆

TL;DR: This study studies community structures of more than twenty existing networks using ten commonly used community-detecting methods, and discovery that most communities have several leaders whose degrees are particularly large suggests that the leaders play an important role in keeping communities denser and more clustered.

Exploring patterns of empirical networks

TL;DR: We are constantly struggling to understand how nature works, trying to identify recurrent events and looking for analogies and relations between objects or individuals as mentioned in this paper, and we are constantly trying to understand why nature works.
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Does infection with Chlamydia trachomatis induce long-lasting partial immunity? Insights from mathematical modelling

TL;DR: In this article, the authors explored whether existence of long-lasting partial immunity against reinfection with Chlamydia trachomatis is necessary to explain observed prevalence patterns by age and sexual risk.
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Global stability of an SIR model with two susceptible groups on complex networks

TL;DR: In this paper, an SIR model with two susceptible groups is proposed and analyzed on complex networks, where contacts between human are treated as a scale-free social network, and the basic reproduction number R 0 is obtained, and it is established that the disease-free equilibrium is locally and globally asymptotically stable if R 0 ≤ 1, otherwise disease free equilibrium is unstable and there exists a unique endemic equilibrium.
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