{"product_id":"network-science-analysis-and-optimization-algorithms-for-real-world-applications-hardcover","title":"Network Science: Analysis and Optimization Algorithms for Real-World Applications - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eCarlos Andre Reis Pinheiro\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNetwork Science\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eNetwork Science\u003c\/i\u003e offers comprehensive insight on network analysis and network optimization algorithms, with simple step-by-step guides and examples throughout, and a thorough introduction and history of network science, explaining the key concepts and the type of data needed for network analysis, ensuring a smooth learning experience for readers. It also includes a detailed introduction to multiple network optimization algorithms, including linear assignment, network flow and routing problems. \u003c\/p\u003e\u003cp\u003eThe text is comprised of five chapters, focusing on subgraphs, network analysis, network optimization, and includes a list of case studies, those of which include influence factors in telecommunications, fraud detection in taxpayers, identifying the viral effect in purchasing, finding optimal routes considering public transportation systems, among many others. This insightful book shows how to apply algorithms to solve complex problems in real-life scenarios and shows the math behind these algorithms, enabling readers to learn how to develop them and scrutinize the results. \u003c\/p\u003e\u003cp\u003eWritten by a highly qualified author with significant experience in the field, \u003ci\u003eNetwork Science\u003c\/i\u003e also includes information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e Sub-networks, covering connected components, bi-connected components, community detection, k-core decomposition, reach network, projection, nodes similarity and pattern matching\u003c\/li\u003e \u003cli\u003e Network centrality measures, covering degree, influence, clustering coefficient, closeness, betweenness, eigenvector, PageRank, hub and authority\u003c\/li\u003e \u003cli\u003e Network optimization, covering clique, cycle, linear assignment, minimum-cost network flow, maximum network flow problem, minimum cut, minimum spanning tree, path, shortest path, transitive closure, traveling salesman problem, vehicle routing problem and topological sort\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWith in-depth and authoritative coverage of the subject and many case studies to convey concepts clearly, \u003ci\u003eNetwork Science\u003c\/i\u003e is a helpful training resource for professional and industry workers in, telecommunications, insurance, retail, banking, healthcare, public sector, among others, plus as a supplementary reading for an introductory Network Science course for undergraduate students.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eNetwork Science\u003c\/i\u003e offers comprehensive insight on network analysis and network optimization algorithms, with simple step-by-step guides and examples throughout, and a thorough introduction and history of network science, explaining the key concepts and the type of data needed for network analysis, ensuring a smooth learning experience for readers. It also includes a detailed introduction to multiple network optimization algorithms, including linear assignment, network flow and routing problems. \u003c\/p\u003e\u003cp\u003eThe text is comprised of five chapters, focusing on subgraphs, network analysis, network optimization, and includes a list of case studies, those of which include influence factors in telecommunications, fraud detection in taxpayers, identifying the viral effect in purchasing, finding optimal routes considering public transportation systems, among many others. This insightful book shows how to apply algorithms to solve complex problems in real-life scenarios and shows the math behind these algorithms, enabling readers to learn how to develop them and scrutinize the results. \u003c\/p\u003e\u003cp\u003eWritten by a highly qualified author with significant experience in the field, \u003ci\u003eNetwork Science\u003c\/i\u003e also includes information on: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e Sub-networks, covering connected components, bi-connected components, community detection, k-core decomposition, reach network, projection, nodes similarity and pattern matching\u003c\/li\u003e \u003cli\u003e Network centrality measures, covering degree, influence, clustering coefficient, closeness, betweenness, eigenvector, PageRank, hub and authority\u003c\/li\u003e \u003cli\u003e Network optimization, covering clique, cycle, linear assignment, minimum-cost network flow, maximum network flow problem, minimum cut, minimum spanning tree, path, shortest path, transitive closure, traveling salesman problem, vehicle routing problem and topological sort\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWith in-depth and authoritative coverage of the subject and many case studies to convey concepts clearly, \u003ci\u003eNetwork Science\u003c\/i\u003e is a helpful training resource for professional and industry workers in, telecommunications, insurance, retail, banking, healthcare, public sector, among others, plus as a supplementary reading for an introductory Network Science course for undergraduate students.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eCarlos Andre Reis Pinheiro\u003c\/b\u003e is a Distinguished Data Scientist at SAS, USA. Dr. Pinheiro received his DSc in Engineering from the Federal University of Rio de Janeiro and has published several papers in international journals and conferences. He is the author of Heuristics in \u003ci\u003eAnalytics \u003c\/i\u003eand\u003ci\u003e Social Network Analysis in Telecommunications\u003c\/i\u003e, both published by Wiley.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.81 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 08, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47438242906333,"sku":"9781119898917","price":153.96,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0811\/9867\/8237\/files\/SHhBY20zMFF1cU1IS29hZWtveTk0dz09.webp?v=1771417431","url":"https:\/\/handfulofbooks.com\/products\/network-science-analysis-and-optimization-algorithms-for-real-world-applications-hardcover","provider":"Handful of Books","version":"1.0","type":"link"}