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This edited volume provides a broad, interdisciplinary overview of the emerging field of network science. It gathers contributions from experts in mathematics, computer science, physics, biology, ecology, economics, urban studies and more — exploring how patterns of interactions among components in natural and engineered systems lead to complex network behavior. Topics include empirical studies and mathematical models of fixed networks, temporal processes on networks (such as synchronization or message-passing), evolving networks (e.g. growing web, social or trade networks), and applications spanning biology (protein networks, ecosystems), technology (transport networks, finance, telecommunications), urban design, epidemiology, and beyond. The book aims to highlight common structures and principles across disparate systems, illustrating how insights from one domain can inform others — making it valuable for researchers, practitioners, and students interested in complexity, connectivity, and systems thinking.

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245: $a: Network Science: Complexity in Nature and Technology
245: $b:
082: $a:
100: $a: Ernesto Estrada & Maria Fox & Desmond J. Higham & Gian‑Luca Oppo
650: $a: Network Science
250: $a:
440: $v:
250: $b: Springer
250: $c: 2010
020: $a: 9781849963954
300: $a: 245