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{ "item_title" : "The Science of Complex Networks", "item_author" : [" Eli Monroe", "Edward H. Whitmore "], "item_description" : "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-R nyi, 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-R nyi, 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", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/826/647/9798266479678_b.jpg", "price_data" : { "retail_price" : "9.99", "online_price" : "9.99", "our_price" : "9.99", "club_price" : "9.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Science of Complex Networks|Eli Monroe

The Science of Complex Networks : A Journey Through Random Graphs and Network Science

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Overview

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-R nyi, 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-R nyi, 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

This item is Non-Returnable

Details

  • ISBN-13: 9798266479678
  • ISBN-10: 9798266479678
  • Publisher: Independently Published
  • Publish Date: September 2025
  • Dimensions: 9 x 6 x 0.48 inches
  • Shipping Weight: 0.68 pounds
  • Page Count: 226

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