Verlag: Morgan & Claypool Publishers, 2013
ISBN 10: 1627051155 ISBN 13: 9781627051156
Sprache: Englisch
Anbieter: Cotton Candy Books, Phoenix, AZ, USA
Fair: This book shows clear signs of use but remains completely readable and functional. The cover may have visible wear such as scuffing, creases, or small tears. Pages may contain writing, highlighting, or underlining, but the text is not obscured. The binding is intact and secure. May include stickers or sticker residue from previous use. A solid reading copy.
Verlag: Morgan & Claypool Publishers, 2013
ISBN 10: 1627051155 ISBN 13: 9781627051156
Sprache: Englisch
Anbieter: suffolkbooks, Center moriches, NY, USA
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Anbieter: GreatBookPrices, Columbia, MD, USA
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Verlag: Springer International Publishing AG, CH, 2013
ISBN 10: 3031007220 ISBN 13: 9783031007224
Sprache: Englisch
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: New. 1°. Research on social networks has exploded over the last decade. To a large extent, this has been fueled by the spectacular growth of social media and online social networking sites, which continue growing at a very fast pace, as well as by the increasing availability of very large social network datasets for purposes of research. A rich body of this research has been devoted to the analysis of the propagation of information, influence, innovations, infections, practices and customs through networks. Can we build models to explain the way these propagations occur? How can we validate our models against any available real datasets consisting of a social network and propagation traces that occurred in the past? These are just some questions studied by researchers in this area. Information propagation models find applications in viral marketing, outbreak detection, finding key blog posts to read in order to catch important stories, finding leaders or trendsetters, information feed ranking,etc. A number of algorithmic problems arising in these applications have been abstracted and studied extensively by researchers under the garb of influence maximization. This book starts with a detailed description of well-established diffusion models, including the independent cascade model and the linear threshold model, that have been successful at explaining propagation phenomena. We describe their properties as well as numerous extensions to them, introducing aspects such as competition, budget, and time-criticality, among many others. We delve deep into the key problem of influence maximization, which selects key individuals to activate in order to influence a large fraction of a network. Influence maximization in classic diffusion models including both the independent cascade and the linear threshold models is computationally intractable, more precisely #P-hard, and we describe several approximation algorithms and scalable heuristics that have been proposed in the literature. Finally, we also deal with key issues that need to be tackled in order to turn this research into practice, such as learning the strength with which individuals in a network influence each other, as well as the practical aspects of this research including the availability of datasets and software tools for facilitating research. We conclude with a discussion of various research problems that remain open, both from a technical perspective and from the viewpoint of transferring the results of research into industry strength applications.
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In den WarenkorbZustand: New. In English.
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Verlag: Morgan & Claypool Publishers, 2019
ISBN 10: 1681735954 ISBN 13: 9781681735955
Sprache: Englisch
Anbieter: Leopolis, Kraków, Polen
Soft cover. Zustand: New. 8vo (23.5 cm), XVII, 188 pp. Laminated wrappers. Synopsis: Communities serve as basic structural building blocks for understanding the organization of many real-world networks, including social, biological, collaboration, and communication networks. Recently, community search over graphs has attracted significantly increasing attention, from small, simple, and static graphs to big, evolving, attributed, and location-based graphs. In this book, we first review the basic concepts of networks, communities, and various kinds of dense subgraph models. We then survey the state of the art in community search techniques on various kinds of networks across different application areas. Specifically, we discuss cohesive community search, attributed community search, social circle discovery, and geo-social group search. We highlight the challenges posed by different community search problems. We present their motivations, principles, methodologies, algorithms, and applications, and provide a comprehensive comparison of the existing techniques. This book finally concludes by listing publicly available real-world datasets and useful tools for facilitating further research, and by offering further readings and future directions of research in this important and growing area.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Lucky's Textbooks, Dallas, TX, USA
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In den WarenkorbZustand: New.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. 1st edition NO-PA16APR2015-KAP.
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In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, and may have sticker on cover, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Zustand: New. pp. 191.
Verlag: Morgan & Claypool Publishers, 2019
ISBN 10: 1681735970 ISBN 13: 9781681735979
Sprache: Englisch
Anbieter: Leopolis, Kraków, Polen
Hardcover. Zustand: New. 8vo (24.5 cm), XVII, 188 pp. Publisher's laminated boards. Synopsis: Communities serve as basic structural building blocks for understanding the organization of many real-world networks, including social, biological, collaboration, and communication networks. Recently, community search over graphs has attracted significantly increasing attention, from small, simple, and static graphs to big, evolving, attributed, and location-based graphs. In this book, we first review the basic concepts of networks, communities, and various kinds of dense subgraph models. We then survey the state of the art in community search techniques on various kinds of networks across different application areas. Specifically, we discuss cohesive community search, attributed community search, social circle discovery, and geo-social group search. We highlight the challenges posed by different community search problems. We present their motivations, principles, methodologies, algorithms, and applications, and provide a comprehensive comparison of the existing techniques. This book finally concludes by listing publicly available real-world datasets and useful tools for facilitating further research, and by offering further readings and future directions of research in this important and growing area.
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In den WarenkorbZustand: New. pp. 191.
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In den WarenkorbPF. Zustand: New.
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In English.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 200 pages. 9.25x6.10x0.46 inches. In Stock.