The Structure And Dynamics of Networks

Book Details

• Author: Duncan J. Watts

• Publisher: Princeton University Press

• Binding: Paperback

• Number of Pages: 624

• Release Date: 07-05-2006

• ISBN: 9780691113579

• Dimensions: 10.9 x 8.6 x 1.4 inches

• Languages: English

About the Book

The Structure and Dynamics of Networks is a comprehensive sourcebook for the rapidly growing field of network science, gathering together seminal articles from diverse disciplines including mathematics, physics, sociology, biology, and computer science. This collection of research articles represents key advancements in understanding the various types of networks, their structures, dynamics, and the applications of network science in real-world phenomena such as disease transmission, the internet, and social networks.

The book is divided into four sections:

1. Historical Antecedents: The foundation of contemporary network research.

2. Empirical Research: Examining real-world data and findings in network theory.

3. Modeling Ideas: Core theories that have guided much of the research in the field.

4. Cutting Edge Topics: The latest research areas including network robustness and system dynamics.

The editors, Mark Newman, Albert-László Barabási, and Duncan Watts, provide insightful introductions to each section, making this book an invaluable resource for students and researchers interested in network theory. It serves as both an introduction to newcomers and a reference for more experienced scholars.

This work offers an in-depth exploration of how network structures influence system behavior and addresses pressing issues in network science such as robustness, resilience, and the spread of information or disease.

Reviews

• MAA Reviews: "The Structure and Dynamics of Networks performs an important service by bringing together in one volume a number of papers on network theory."

• Current Engineering Practice: "This volume will serve as a resource for the more experienced researcher and a great introduction to the topic."

• Marian Boguna, Journal of Statistical Physics: "Each paper represents a fundamental breakthrough... I strongly recommend this book to researchers and students of the field."

• Dan Rockmore, Dartmouth College: "This collection will become a standard resource for the growing number of courses on networks now beginning to pervade curricula."