
The Nature of Complex Networks provides a systematic introduction to the statistical mechanics of complex networks and the different theoretical achievements in the field that are now finding strands in common. The book presents a wide range of networks and the processes taking place on them, including recently developed directions, methods, and techniques. It assumes a statistical mechanics view of random networks based on the concept of statistical ensembles but also features the approaches and methods of modern random graph theory and their overlaps with statistical physics. This book will appeal to graduate students and researchers in the fields of statistical physics, complex systems, graph theory, applied mathematics, and theoretical epidemiology.
This text investigates the statistical mechanics of complex networks and the theoretical frameworks governing their structure and evolution. The authors, Dr. Sergey N. Dorogovtsev and José F. F. Mendes, utilize their expertise in statistical physics to synthesize disparate methods from random graph theory and statistical ensembles. The book provides a rigorous mathematical foundation for understanding how processes function within various network topologies.
What You Will Find
Scope Limits
Experts recognize this work as a foundational text for graduate-level study in statistical physics and complex systems. Readers frequently note the high level of mathematical density and the technical rigor required to fully engage with the presented proofs and models.
Page Count:
512
Publication Date:
2022-01-01
Publisher:
OUP Oxford
ISBN-10:
0192693182
ISBN-13:
9780192693181
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