Random Graph Dynamics

Random Graph Dynamics

Author: Rick Durrett

Publisher: Cambridge University Press

Published: 2010-05-31

Total Pages: 203

ISBN-13: 1139460889

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The theory of random graphs began in the late 1950s in several papers by Erdos and Renyi. In the late twentieth century, the notion of six degrees of separation, meaning that any two people on the planet can be connected by a short chain of people who know each other, inspired Strogatz and Watts to define the small world random graph in which each site is connected to k close neighbors, but also has long-range connections. At a similar time, it was observed in human social and sexual networks and on the Internet that the number of neighbors of an individual or computer has a power law distribution. This inspired Barabasi and Albert to define the preferential attachment model, which has these properties. These two papers have led to an explosion of research. The purpose of this book is to use a wide variety of mathematical argument to obtain insights into the properties of these graphs. A unique feature is the interest in the dynamics of process taking place on the graph in addition to their geometric properties, such as connectedness and diameter.


Introduction to Random Graphs

Introduction to Random Graphs

Author: Alan Frieze

Publisher: Cambridge University Press

Published: 2016

Total Pages: 483

ISBN-13: 1107118506

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The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.


Random Graphs and Complex Networks

Random Graphs and Complex Networks

Author: Remco van der Hofstad

Publisher: Cambridge University Press

Published: 2017

Total Pages: 341

ISBN-13: 110717287X

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This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.


Generating Random Networks and Graphs

Generating Random Networks and Graphs

Author: Anthony C. C. Coolen

Publisher: Oxford University Press

Published: 2017

Total Pages: 325

ISBN-13: 0198709897

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This book describes how to correctly and efficiently generate random networks based on certain constraints. Being able to test a hypothesis against a properly specified control case is at the heart of the 'scientific method'.


Large Deviations for Random Graphs

Large Deviations for Random Graphs

Author: Sourav Chatterjee

Publisher: Springer

Published: 2017-08-31

Total Pages: 175

ISBN-13: 3319658166

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This book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a random graph look like if by chance it has far more triangles than expected? Until recently, probability theory offered no tools to help answer such questions. Important advances have been made in the last few years, employing tools from the newly developed theory of graph limits. This work represents the first book-length treatment of this area, while also exploring the related area of exponential random graphs. All required results from analysis, combinatorics, graph theory and classical large deviations theory are developed from scratch, making the text self-contained and doing away with the need to look up external references. Further, the book is written in a format and style that are accessible for beginning graduate students in mathematics and statistics.


Graphical Evolution

Graphical Evolution

Author: Edgar M. Palmer

Publisher: Wiley-Interscience

Published: 1985-03-07

Total Pages: 208

ISBN-13:

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Probability models for graphs; Models a, b and c; Expection; properties of almost all graphs Threshold functions; The evolution randon graphs; A threshold for isolated vertices; A sharper threshold; Threshold for existence; Selected highlights.


Random Graphs

Random Graphs

Author: Béla Bollobás

Publisher: Cambridge University Press

Published: 2001-08-30

Total Pages: 520

ISBN-13: 9780521797221

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This is a revised and updated version of the classic first edition.


Random Graphs

Random Graphs

Author: Svante Janson

Publisher: John Wiley & Sons

Published: 2011-09-30

Total Pages: 350

ISBN-13: 1118030966

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A unified, modern treatment of the theory of random graphs-including recent results and techniques Since its inception in the 1960s, the theory of random graphs has evolved into a dynamic branch of discrete mathematics. Yet despite the lively activity and important applications, the last comprehensive volume on the subject is Bollobas's well-known 1985 book. Poised to stimulate research for years to come, this new work covers developments of the last decade, providing a much-needed, modern overview of this fast-growing area of combinatorics. Written by three highly respected members of the discrete mathematics community, the book incorporates many disparate results from across the literature, including results obtained by the authors and some completely new results. Current tools and techniques are also thoroughly emphasized. Clear, easily accessible presentations make Random Graphs an ideal introduction for newcomers to the field and an excellent reference for scientists interested in discrete mathematics and theoretical computer science. Special features include: * A focus on the fundamental theory as well as basic models of random graphs * A detailed description of the phase transition phenomenon * Easy-to-apply exponential inequalities for large deviation bounds * An extensive study of the problem of containing small subgraphs * Results by Bollobas and others on the chromatic number of random graphs * The result by Robinson and Wormald on the existence of Hamilton cycles in random regular graphs * A gentle introduction to the zero-one laws * Ample exercises, figures, and bibliographic references