Journal ArticleDOI
Spread of information through a population with socio-structural bias: I. Assumption of transitivity
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In this article, the axon density (the only free parameter in the iteration formula) is determined by the first pair of experimental values, and the predicted spread is much more rapid than the observed one.About:
This article is published in Bulletin of Mathematical Biology.The article was published on 1953-12-01. It has received 391 citations till now. The article focuses on the topics: Population.read more
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The Strength of Weak Ties
TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
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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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Characterization of complex networks: A survey of measurements
TL;DR: In this paper, the authors present a survey of topological features of complex networks, including trajectories in several measurement spaces, correlations between some of the most traditional measurements, perturbation analysis, as well as the use of multivariate statistics for feature selection and network classification.
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Characterization of complex networks: A survey of measurements
TL;DR: This article presents a survey of measurements capable of expressing the most relevant topological features of complex networks and includes general considerations about complex network characterization, a brief review of the principal models, and the presentation of the main existing measurements.
References
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Journal ArticleDOI
Connectivity of random nets
TL;DR: In this article, the axone density of a random net is computed as a function of axone densities, and it is shown that γ rises rapidly with the density, attaining 0.8 of its asymptotic value (unity) fora=2.
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Nets with distance bias
TL;DR: The probability that there exists a path from a given point in the net to another point is now a function of both the axone density and the distance between the points, and a recursion formula is derived in terms of which this probability can be computed.