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Fractal River Basins: Chance and Self-Organization

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TLDR
In this paper, the authors present a view of river basins and show that the fractal characteristics of these basins are related to the optimal channel networks of a self-organized fractal river network.
Abstract
1. A view of river basins 2. Fractal characteristics of river basins 3. Multifractal characteristics of river basins 4. Optimal channel networks: minimum energy and fractal structures 5. Self-organized fractal river networks 6. On landscape self-organization 7. Geomorphological hydrologic response 8. References.

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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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Traffic and related self-driven many-particle systems

TL;DR: This article considers the empirical data and then reviews the main approaches to modeling pedestrian and vehicle traffic, including microscopic (particle-based), mesoscopic (gas-kinetic), and macroscopic (fluid-dynamic) models.
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Spatial Networks

TL;DR: In this article, the authors expose the current state of the understanding of how the spatial constraints affect the structure and properties of these networks and review the most recent empirical observations and the most important models of spatial networks.
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Self-similar community structure in a network of human interactions

TL;DR: The results reveal the self-organization of the network into a state where the distribution of community sizes is self-similar, suggesting that a universal mechanism, responsible for emergence of scaling in other self-organized complex systems, as, for instance, river networks, could also be the underlying driving force in the formation and evolution of social networks.
Journal ArticleDOI

Self-organized criticality

TL;DR: In this paper, the authors introduced the concept of self-organized criticality to explain the behavior of the sandpile model, where particles are randomly dropped onto a square grid of boxes and when a box accumulates four particles they are redistributed to the four adjacent boxes or lost off the edge of the grid.
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