The Science of Complex Networks : A Journey Through Random Graphs and Network Science
Language: English
Published by Createspace Independent Publishing Platform Sep 2025, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 31.17
Quantity: 2 available
Add to basketItem description from seller
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.…
Seller Inventory # 9798266479678
- Title
- The Science of Complex Networks : A Journey Through Random Graphs and Network Science
- Author
- Edward H. Whitmore
- Publisher
- Createspace Independent Publishing Platform Sep 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798266479678
- Illustrator
- Monroe, Eli
- Item weight
- 280 grams
- Dimensions
- 229x152x14 mm
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 Erdős–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: Erdős–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
"Synopsis" may belong to another edition of this title.
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