Isbn: 9798266479678 - the science of complex networks: a journey through random graphs and network science (6 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Monroe, Eli (ilustrador).

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Monroe, Eli (ilustrador).

Taschenbuch. Condición: Neu. Neuware - The Science of Complex Networks provides a thorough and practical introduction to the fascinating world of network science. Starting with foundational random graph models such as Erdos-Rényi, scale-free, small-world, and configuration models, it moves into advanced frameworks including exponential random graphs, stochastic block models, and multilayer networks.The book explores both static network structures and dynamic processes, covering diffusion, epidemic spreading, opinion dynamics, synchronization, and cascading failures, with a focus on how network topology shapes these behaviors. Temporal networks, where connections evolve over time, are examined alongside resilience and robustness, showing how systems withstand and recover from disruptions.Readers are guided through clear explanations, mathematical formulations, and hands-on simulation techniques using tools like NetworkX. Real-world examples from disease control to infrastructure design and information spread illustrate how network science applies across social, biological, and technological domains.This book equips readers to understand, model, and analyze complex networks while gaining insights into practical applications.Topics covered include: - Foundational random graph models: Erdos-Rényi, scale-free, small-world, configuration models- Advanced network frameworks: exponential random graphs, stochastic block models, multilayer networks- Dynamic processes on networks: diffusion, epidemic spreading, opinion dynamics, synchronization, cascading failures- Temporal networks and evolving connections- Network resilience and robustness- Practical simulation techniques using Python and NetworkX- Applications in social, biological, and technological systems. Monroe, Eli (ilustrador).…

Paperback. Condición: new. Paperback. The Science of Complex Networks provides a thorough and practical introduction to the fascinating world of network science. Starting with foundational random graph models such as Erdos-Renyi, scale-free, small-world, and configuration models, it moves into advanced frameworks including exponential random graphs, stochastic block models, and multilayer networks.The book explores both static network structures and dynamic processes, covering diffusion, epidemic spreading, opinion dynamics, synchronization, and cascading failures, with a focus on how network topology shapes these behaviors. Temporal networks, where connections evolve over time, are examined alongside resilience and robustness, showing how systems withstand and recover from disruptions.Readers are guided through clear explanations, mathematical formulations, and hands-on simulation techniques using tools like NetworkX. Real-world examples from disease control to infrastructure design and information spread illustrate how network science applies across social, biological, and technological domains.This book equips readers to understand, model, and analyze complex networks while gaining insights into practical applications.Topics covered include: Foundational random graph models: Erdos-Renyi, scale-free, small-world, configuration modelsAdvanced network frameworks: exponential random graphs, stochastic block models, multilayer networksDynamic processes on networks: diffusion, epidemic spreading, opinion dynamics, synchronization, cascading failuresTemporal networks and evolving connectionsNetwork resilience and robustnessPractical simulation techniques using Python and NetworkXApplications in social, biological, and technological systems This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Monroe, Eli (ilustrador).…

Condición: New. Print on Demand. Monroe, Eli (ilustrador).

Paperback. Condición: new. Paperback. The Science of Complex Networks provides a thorough and practical introduction to the fascinating world of network science. Starting with foundational random graph models such as Erdos-Renyi, scale-free, small-world, and configuration models, it moves into advanced frameworks including exponential random graphs, stochastic block models, and multilayer networks.The book explores both static network structures and dynamic processes, covering diffusion, epidemic spreading, opinion dynamics, synchronization, and cascading failures, with a focus on how network topology shapes these behaviors. Temporal networks, where connections evolve over time, are examined alongside resilience and robustness, showing how systems withstand and recover from disruptions.Readers are guided through clear explanations, mathematical formulations, and hands-on simulation techniques using tools like NetworkX. Real-world examples from disease control to infrastructure design and information spread illustrate how network science applies across social, biological, and technological domains.This book equips readers to understand, model, and analyze complex networks while gaining insights into practical applications.Topics covered include: Foundational random graph models: Erdos-Renyi, scale-free, small-world, configuration modelsAdvanced network frameworks: exponential random graphs, stochastic block models, multilayer networksDynamic processes on networks: diffusion, epidemic spreading, opinion dynamics, synchronization, cascading failuresTemporal networks and evolving connectionsNetwork resilience and robustnessPractical simulation techniques using Python and NetworkXApplications in social, biological, and technological systems This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Monroe, Eli (ilustrador).…