Watts and Strogatz Model: Random Graph, Small-world Network, Average Path Length, Clustering Coefficient, Stochastic Process, Poisson Distribution, Triadic Closure, Degree (graph theory) - Softcover

 
9786130328825: Watts and Strogatz Model: Random Graph, Small-world Network, Average Path Length, Clustering Coefficient, Stochastic Process, Poisson Distribution, Triadic Closure, Degree (graph theory)

Inhaltsangabe

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The Watts and Strogatz model is a random graph generation model that produces graphs with small-world properties, including short average path lengths and high clustering. It was proposed by Duncan J. Watts and Steven Strogatz in their joint 1998 Nature paper. The model also became known as the (Watts) beta model after Watts used β to formulate it in his popular science book Six Degrees. The formal study of random graphs dates back to the work of Paul Erdős and Alfréd Rényi. The graphs they considered, now known as the classical or Erdős–Rényi (ER) graphs, offer a simple and powerful model with many applications.

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Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The Watts and Strogatz model is a random graph generation model that produces graphs with small-world properties, including short average path lengths and high clustering. It was proposed by Duncan J. Watts and Steven Strogatz in their joint 1998 Nature paper. The model also became known as the (Watts) beta model after Watts used β to formulate it in his popular science book Six Degrees. The formal study of random graphs dates back to the work of Paul Erdős and Alfréd Rényi. The graphs they considered, now known as the classical or Erdős–Rényi (ER) graphs, offer a simple and powerful model with many applications.

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9786130333973: Watts and Strogatz Model: Watts and Strogatz Model, Random Graph, Mathematics, Stochastic Process, Probability Theory, Graph Theory, Percolation

Vorgestellte Ausgabe

ISBN 10:  6130333978 ISBN 13:  9786130333973
Verlag: Betascript Publishing, 2010
Softcover