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ISBN 10: 0521197279 ISBN 13: 9780521197274
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Published by Cambridge University Press, 2011
ISBN 10: 0521197279 ISBN 13: 9780521197274
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Published by Cambridge University Press, 2011
ISBN 10: 0521197279 ISBN 13: 9780521197274
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Published by Cambridge University Press, 2011
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Published by Cambridge University Press, 2011
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Condition: New. Demonstrates how signal processing techniques can be used to model user dynamics and optimize design of media-sharing network systems. Num Pages: 350 pages, 110 b/w illus. 7 tables. BIC Classification: JMA; UT; UYS. Category: (P) Professional & Vocational. Dimension: 247 x 181 x 22. Weight in Grams: 846. . 2011. Illustrated. hardcover. . . . .
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Published by Cambridge University Press, 2011
ISBN 10: 0521197279 ISBN 13: 9780521197274
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Condition: New. Demonstrates how signal processing techniques can be used to model user dynamics and optimize design of media-sharing network systems. Num Pages: 350 pages, 110 b/w illus. 7 tables. BIC Classification: JMA; UT; UYS. Category: (P) Professional & Vocational. Dimension: 247 x 181 x 22. Weight in Grams: 846. . 2011. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
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Published by Springer, Berlin|Springer Nature Singapore|Springer, 2021
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Published by Cambridge University Press, 2011
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Published by Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811571597 ISBN 13: 9789811571596
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks.In the emerging crowdcyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other's decisions. It is crucial to understand such intelligent entities' behaviors and to study their strategic interactions in order to provide important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy.This bookreviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networksand discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavioron the network evolution processand demonstrates how this can help improve network performance.Intended for graduate students and researchers from various disciplines, including but not limited to, data science, networking, signal processing, complex systems,and economics, the book encourages researchers in related research fields to explore the many untouched areas in this domain, and ultimately to design crowd networks with efficient, effective, and reliable services.
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Published by Springer-Nature New York Inc, 2021
ISBN 10: 9811571627 ISBN 13: 9789811571626
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Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521197279 ISBN 13: 9780521197274
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Hardcover. Condition: new. Hardcover. In large-scale media-sharing social networks, where millions of users create, share, link and reuse media content, there are clear challenges in protecting content security and intellectual property, and in designing scalable and reliable networks capable of handling high levels of traffic. This comprehensive resource demonstrates how game theory can be used to model user dynamics and optimize design of media-sharing networks. It reviews the fundamental methodologies used to model and analyze human behavior, using examples from real-world multimedia social networks. With a thorough investigation of the impact of human factors on multimedia system design, this accessible book shows how an understanding of human behavior can be used to improve system performance. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this one-stop guide will enable researchers to explore this emerging field further and ultimately design media-sharing systems with more efficient, secure and personalized services. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this comprehensive and accessible resource uses examples from real-world multimedia social networks to demonstrate how signal processing techniques can be used to model user dynamics and optimize design of media-sharing network systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Condition: Brand New. 1st edition. 336 pages. 10.25x7.25x1.00 inches. In Stock. This item is printed on demand.
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Published by Cambridge University Press, 2011
ISBN 10: 0521197279 ISBN 13: 9780521197274
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Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521197279 ISBN 13: 9780521197274
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Hardcover. Condition: new. Hardcover. In large-scale media-sharing social networks, where millions of users create, share, link and reuse media content, there are clear challenges in protecting content security and intellectual property, and in designing scalable and reliable networks capable of handling high levels of traffic. This comprehensive resource demonstrates how game theory can be used to model user dynamics and optimize design of media-sharing networks. It reviews the fundamental methodologies used to model and analyze human behavior, using examples from real-world multimedia social networks. With a thorough investigation of the impact of human factors on multimedia system design, this accessible book shows how an understanding of human behavior can be used to improve system performance. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this one-stop guide will enable researchers to explore this emerging field further and ultimately design media-sharing systems with more efficient, secure and personalized services. Demonstrates how signal processing techniques can be used to model user dynamics and optimize design of media-sharing network systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521197279 ISBN 13: 9780521197274
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this comprehensive and accessible resource uses examples from real-world multimedia social networks to demonstrate how signal processing tec.
Language: English
Published by Springer Nature Singapore Jul 2021, 2021
ISBN 10: 9811571627 ISBN 13: 9789811571626
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks.In the emerging crowdcyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other's decisions. It is crucial to understand such intelligent entities' behaviors and to study their strategic interactions in order to provide important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy.This bookreviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networksand discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavioron the network evolution processand demonstrates how this can help improve network performance.Intended for graduate students and researchers from various disciplines, including but not limited to, data science, networking, signal processing, complex systems,and economics, the book encourages researchers in related research fields to explore the many untouched areas in this domain, and ultimately to design crowd networks with efficient, effective, and reliable services. 156 pp. Englisch.
Language: English
Published by Springer Nature Singapore Jul 2020, 2020
ISBN 10: 9811571597 ISBN 13: 9789811571596
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks.In the emerging crowdcyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other's decisions. It is crucial to understand such intelligent entities' behaviors and to study their strategic interactions in order to provide important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy.This bookreviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networksand discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavioron the network evolution processand demonstrates how this can help improve network performance.Intended for graduate students and researchers from various disciplines, including but not limited to, data science, networking, signal processing, complex systems,and economics, the book encourages researchers in related research fields to explore the many untouched areas in this domain, and ultimately to design crowd networks with efficient, effective, and reliable services. 156 pp. Englisch.
Language: English
Published by Cambridge University Press, 2011
ISBN 10: 0521197279 ISBN 13: 9780521197274
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Buch. Condition: Neu. Behavior Dynamics in Media-Sharing Social Networks | H. Vicky Zhao (u. a.) | Buch | Englisch | 2011 | Cambridge University Press | EAN 9780521197274 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.