Network Science: Analysis and Optimization Algorithms for Real-World Applications – eBook

Description

Network Science: Analysis and Optimization Algorithms for Real-World Applications (PDF) serves as a crucial resource for anyone interested in network analysis and optimization methods. This textbook offers a thorough exploration of network science, integrating uncomplicated step-by-step instructions along with illustrative examples that enhance understanding. The book begins with a comprehensive introduction, detailing the evolution of network science and explicating essential concepts and necessary data for effective network analysis. This foundational knowledge paves the way for a seamless learning journey.

Within its five expertly crafted chapters, the textbook delves into detailed discussions of subgraphs, network analysis techniques, and diverse optimization algorithms, including linear assignment, network flow, and routing challenges. Readers will find a rich collection of real-world case studies that highlight practical applications, such as examining influential factors in telecommunications, detecting fraud among taxpayers, analyzing viral purchasing behaviors, and optimizing routes in public transportation systems. Such case studies illustrate how algorithms can be practically applied to resolve intricate issues, showcasing the mathematical principles underlying these methodologies and guiding readers in developing and assessing their own algorithms.

Authored by a highly qualified expert with extensive experience in the networking field, Network Science encompasses vital topics, including but not limited to:

• Network centrality metrics, encompassing degree, closeness, betweenness, eigenvector centrality, PageRank, influence metrics, clustering coefficient, as well as hub and authority measures.
  • Sub-network exploration, addressing connected components, bi-connected components, community detection, k-core decomposition, reach networks, projection techniques, node similarity assessments, and pattern matching strategies.
    • Comprehensive network optimization methodologies, including but not limited to clique problems, cycle detection, linear assignment, minimum-cost network flows, maximum network flow problems, minimum cuts, minimum spanning trees, pathfinding techniques, shortest path algorithms, transitive closures, the traveling salesman problem, vehicle routing challenges, and topological sorting.

      With an in-depth and authoritative approach to the subject, combined with numerous case studies for clarity, Network Science acts as a valuable training tool for professionals across diverse sectors, including telecommunications, insurance, retail, banking, healthcare, and the public sector. It also serves as a supplementary text for undergraduate courses on introductory Network Science.

      ISBN: 978-1119898917

      NOTE: This purchase includes only the eBook version of Network Science: Analysis and Optimization Algorithms for Real-World Applications in PDF format. Access codes are not included.