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Network Science - Analysis and Optimization Algorithms for Real-World Applications

Network Science - Analysis and Optimization Algorithms for Real-World Applications

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  • More about Network Science - Analysis and Optimization Algorithms for Real-World Applications


Network Science provides a comprehensive guide to network analysis and optimization algorithms, with step-by-step guides, examples, and a history of network science. It covers subgraphs, network analysis, optimization, and case studies, including telecommunications, fraud detection, and viral effect. Written by a qualified author, the book covers sub-networks, centrality measures, and optimization algorithms and is a helpful training resource for professionals in various industries.

Format: Hardback
Length: 352 pages
Publication date: 24 November 2022
Publisher: John Wiley and Sons Ltd


Network Science is a comprehensive guide to understanding network analysis and optimization algorithms. It provides readers with simple step-by-step instructions and examples, along with a thorough introduction to the field and its history. The book covers key concepts such as network data and analysis, and introduces various optimization algorithms, including linear assignment, network flow, and routing problems.

The text is organized into five chapters, covering subgraphs, network analysis, network optimization, and case studies. Each chapter includes real-life examples and applications, such as influence factors in telecommunications, fraud detection in taxpayers, viral effect in purchasing, and optimal routes considering public transportation systems. The book also includes information on sub-networks, network centrality measures, and network optimization techniques.

Written by a highly qualified author with significant experience in the field, Network Science provides a deep understanding of algorithms and their applications. It includes detailed explanations of sub-networks, network centrality measures, and optimization algorithms, along with practical examples and case studies. The book is designed to be accessible to readers with a basic understanding of mathematics, making it an invaluable resource for anyone interested in developing and analyzing networks.

In conclusion, Network Science is a comprehensive and practical guide to understanding network analysis and optimization algorithms. It offers readers a solid foundation in the field, with simple instructions, examples, and case studies. Whether you are a student, researcher, or professional working in the field of networks, this book will help you develop your skills and apply algorithms to solve complex problems.

Weight: 948g
Dimension: 289 x 216 x 27 (mm)
ISBN-13: 9781119898917

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