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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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Proceedings ArticleDOI

Community dynamics in social networks

TL;DR: In this paper, the authors study the statistical properties of community dynamics in large social networks, where the evolving communities are obtained from subsequent snapshots of the modular structure and find significant difference between the behaviour of smaller collaborative or friendship circles and larger communities, eg. institutions.
Journal ArticleDOI

Dynamic spreading behavior of homogeneous and heterogeneous networks

TL;DR: It is indicated that heterogeneous networks are easier to piopagate for the epidemics and the leading spreading behavior is dictated by the exponential increasing in the initial outbreaks, and the network topology can have a significant effect on the Epidemics taking place on complex networks.
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.
Journal ArticleDOI

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.
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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