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“Network robustness” as a book category focuses on how interconnected systems continue to function despite failures, attacks, or uncertainty. Titles in this genre explore the theory and practice of measuring, modeling, and improving resilience in networks, covering topics such as vulnerability and fault analysis, error/attack tolerance, cascading failures, percolation and reliability, redundancy and recovery strategies, and how topology (e.g., scale-free, small-world, modular structures) shapes stability. Methods span graph theory, complex systems, statistical physics, control, optimization, and simulation, with robustness metrics like connectivity, percolation thresholds, and spectral properties. The category applies across domains: the Internet and communications, power and water grids, transportation and logistics, finance, biological and ecological webs, social and epidemic networks, and cyber-physical/IoT systems. Books range from accessible surveys to advanced monographs and case studies, offering design principles, risk assessment frameworks, and lessons from real incidents to guide the building of resilient infrastructures.

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