๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Random Graphs and Complex Networks: Volume 2 (Cambridge Series in Statistical and Probabilistic Mathematics)

โœ Scribed by Remco van der Hofstad


Publisher
Cambridge University Press
Year
2024
Tongue
English
Leaves
507
Edition
New
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two volumes, describes the local structure of random graph models for real-world networks and determines when these models have a giant component and when they are small-, and ultra-small, worlds. This is the first book to cover the theory and implications of local convergence, a crucial technique in the analysis of sparse random graphs. Suitable as a resource for researchers and PhD-level courses, it uses examples of real-world networks, such as the Internet and citation networks, as motivation for the models that are discussed, and includes exercises at the end of each chapter to develop intuition. The book closes with an extensive discussion of related models and problems that demonstratemodern approaches to network theory, such as community structure and directed models.


๐Ÿ“œ SIMILAR VOLUMES


Random Graphs and Complex Networks: Volu
โœ Remco van der Hofstad ๐Ÿ“‚ Library ๐Ÿ“… 2024 ๐Ÿ› Cambridge University Press ๐ŸŒ English

<span>Complex networks are key to describing the connected nature of the society that we live in. This book, the second of two volumes, describes the local structure of random graph models for real-world networks and determines when these models have a giant component and when they are small-, and u

Random Graphs and Complex Networks (Camb
โœ Remco van der Hofstad ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Cambridge University Press ๐ŸŒ English

<span>This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unifie

Statistical Hypothesis Testing in Contex
โœ Michael P. Fay, Erica H. Brittain ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Cambridge University Press ๐ŸŒ English

<span>Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any p

Random Graphs and Complex Networks
โœ Remco van der Hofstad ๐Ÿ“‚ Library ๐Ÿ“… 2016 ๐Ÿ› Cambridge University Press ๐ŸŒ English

<span>This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unifie