Small-world network : Small-World Network, Mathematics, Graph, Small World Experiment, Social Network, Random Graph, Clustering Coefficient, Erd¿s-Rényi Model, Watts and Strogatz Model, Clique

Lambert M. Surhone

ISBN 10: 6130346220 / ISBN 13: 9786130346225

Published by Omniscriptum, 2010

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In mathematics, physics and sociology a small-world network is a type of mathematical graph in which most nodes are not neighbors of one another, but most nodes can be reached from every other by a small number of hops or steps. A small world network, where nodes represent people and edges connect people that know each other, captures the small world phenomenon of strangers being linked by a mutual acquaintance. Many empirical graphs are well modeled by small-world networks. Social networks, the connectivity of the Internet, and gene networks all exhibit small-world network characteristics.

Seller Inventory # 9786130346225

Bibliographic Details

• Title: Small-world network : Small-World Network, Mathematics, Graph, Small World Experiment, Social Network, Random Graph, Clustering Coefficient, Erd¿s-Rényi Model, Watts and Strogatz Model, Clique
• Publisher: Omniscriptum
• Publication Date: 2010
• Language: English
• ISBN 10: 6130346220
• ISBN 13: 9786130346225
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 185 grams

About this title

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In mathematics, physics and sociology a small-world network is a type of mathematical graph in which most nodes are not neighbors of one another, but most nodes can be reached from every other by a small number of hops or steps. A small world network, where nodes represent people and edges connect people that know each other, captures the small world phenomenon of strangers being linked by a mutual acquaintance. Many empirical graphs are well modeled by small-world networks. Social networks, the connectivity of the Internet, and gene networks all exhibit small-world network characteristics.