Large Deviations for Random Graphs École d'Été de Probabilités de Saint-Flour XLV - 2015 /

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. Impo...

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Bibliographic Details
Main Author: Chatterjee, Sourav (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Series:Lecture Notes in Mathematics, 2197
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 1. Introduction
  • 2. Preparation
  • 3. Basics of graph limit theory
  • 4. Large deviation preliminaries
  • 5. Large deviations for dense random graphs
  • 6. Applications of dense graph large deviations
  • 7. Exponential random graph models
  • 8. Large deviations for sparse graphs
  • Index.