Overview

Strategies for improving resilience, incorporating complexity theory, risk analysis, and systems thinking with a rigorous mathematical treatment The Science of Resilience delves into the fascinating field of resilience science, exploring how various systems, ranging from physical infrastructure to social networks, can withstand and recover from disruptions. This interdisciplinary subject combines principles from complexity theory, risk analysis, and systems thinking to understand and mitigate the impacts of events like natural disasters, cyber-attacks, and economic crises. By using mathematical models and real-world examples, the book provides practical tools and strategies for designing resilient systems that can adapt and thrive in the face of uncertainty. Written by a highly qualified author with significant experience in the field, this book: Covers synchronization, bottleneck analysis, epidemic modeling, social network disinformation and how to counter it, and restructuring a system to increase resilience Explains phase change and shows how to apply it to general complex systems Integrates rigorous mathematical models with real-world applications through mini case studies and hypothetical examples covering physical, economic, and social systems Provides tools and strategies to design resilient systems, analyze potential risks, and plain for resilience Addressing an important gap in risk and resilience literature, this book offers valuable insights for engineering and systems design professionals, complexity science and risk analysis researchers, and graduate students in related fields, as well as anyone interested in the science of resilience.

Full Product Details

Author:   Ted G. Lewis (Naval Post Graduate School, Monterey, CA)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.10cm
Weight:   0.476kg
ISBN:  

9781394354924

ISBN 10:   1394354924
Pages:   224
Publication Date:   03 November 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

Preface ix 1 Sandpiles, Long Tails, and Complex Catastrophes 1 The Many Faces of Resilience 4 Sandpile as Metaphor 6 Blocks and Springs 12 Computing Exceedance Probability 14 Two Versions of Exceedance 16 Comments 20 References 22 2 Wildfires, Self-Organization, and Phase Change 23 California Wildfires 24 Percolated Forests 27 Why Does This Occur? 30 Time Resilience 31 Herd Immunity 33 Gause’s Emergent Forest 33 Punctuated Equilibrium 37 Comments 39 References 40 3 Nuclear Disaster, Fault Trees, and the Kill Chain 41 PRA and Fault Trees 45 The Hundred-Year Flood 47 Modeling Threats 48 Modeling TMI-2 Risk 49 Minimization of Fault Tree Risk 51 Maximizing Threat – The Rational Adversary 55 Redundant TMI-2 56 Cyber Kill Chain 56 Comments 59 4 Avalanches, Complex Network, and the Day Power Went Out 61 What Happened on August 14th 62 Network Basics 64 Spectral Radius 68 Network Avalanches 72 Bottlenecks and Resilient Walks 78 Blocking Node Resilience 81 Networks That Sync 82 Comments 85 References 86 5 Surges, Overloads, and the Transformer Matrix 87 The Transformer Matrix 89 Surges and N-1 Testing 91 Surges and Overloading 95 Increasing Capacity and the Braess Paradox 97 Estimating Vulnerability, V 100 Comments 102 6 Emergence, Optimization, and the Competitive Exclusion Principle 103 Efficient Hubs 104 Optimizing Links 106 Maximizing Clusters 110 Dynamic State Space 115 Competitive Exclusion Principle is Degree-Emergence 118 Resilient Sync Networks Cooperate 120 A Theory of Heartbeat 120 Comments 123 References 124 7 Population Resilience, Biological Avalanches, and the COVID-19 Pandemic 125 Risk and Resilience 130 Epidemics as Avalanches 132 A Multi-Factor Model 132 Comments 141 References 142 8 Flashmob Avalanches, Disinformation, and Herd Mentality 143 A Digital Flashmob 145 Resilience: Applying Control Theory to Disinformation 151 Controlling Chaos 153 Comments 155 Reference 156 9 Enrichment, Extinction, and the Tragedy of the Commons 157 Too Much Money 159 Predator and Prey 161 Plausible Extinction Events 166 Resilience of Predator–Prey Systems 167 Minsky Moments 169 Comments 173 References 174 10 Resilient Cyber Security and Fault Tree Resilience 177 Correlation With Uptick in Physical Incidents 178 Detecting Malware With YARA Patterns 180 Fault Tree Resilience 181 An Industrial Control System 183 Increasing Resilience via Blocking Nodes 187 Tracing Fault Tree Paths Along Avalanches 187 Increasing Security by Investing in Vulnerability Reduction 189 Comments 190 Reference 191 11 Distributed Resilience, Restructuring, and the Crash of 2008 193 Too Connected to Fail 196 Restructuring by Node Splitting 199 Bushy versus Branchy Restructuring 200 Improving Flow Resilience 202 The Great Texas Freeze 204 Comments 206 Index 000

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Author Information

Ted G. Lewis is an author and computer scientist with expertise in applied complexity theory, homeland security, infrastructure systems, and early-stage startup strategies. He was inducted into the Oregon State University Engineering Hall of Fame in 2021. He has served in government, industry, and academia over an extensive career. He has also served as the Editor-in-Chief of several periodicals including IEEE Computer Magazine and is a member of the IEEE Computer Society Board of Governors.

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