Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Paperback. Condition: new. Paperback. Real networks comprise from hundreds to millions of interacting elements and permeate all contexts, from technology to biology to society. All of them display non-trivial connectivity patterns, including the small-world phenomenon, making nodes to be separated by a small number of intermediate links. As a consequence, networks present an apparent lack of metric structure and are difficult to map. Yet, many networks have a hidden geometry that enables meaningful maps in the two-dimensional hyperbolic plane. The discovery of such hidden geometry and the understanding of its role have become fundamental questions in network science giving rise to the field of network geometry. This Element reviews fundamental models and methods for the geometric description of real networks with a focus on applications of real network maps, including decentralized routing protocols, geometric community detection, and the self-similar multiscale unfolding of networks by geometric renormalization. This Element reviews fundamental models and methods for the geometric description of real networks with a focus on applications of real network maps, including decentralized routing protocols, geometric community detection, and the self-similar multiscale unfolding of networks by geometric renormalization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press 2021-12, 2021
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Add to basketPaperback. Condition: new. Paperback. Real networks comprise from hundreds to millions of interacting elements and permeate all contexts, from technology to biology to society. All of them display non-trivial connectivity patterns, including the small-world phenomenon, making nodes to be separated by a small number of intermediate links. As a consequence, networks present an apparent lack of metric structure and are difficult to map. Yet, many networks have a hidden geometry that enables meaningful maps in the two-dimensional hyperbolic plane. The discovery of such hidden geometry and the understanding of its role have become fundamental questions in network science giving rise to the field of network geometry. This Element reviews fundamental models and methods for the geometric description of real networks with a focus on applications of real network maps, including decentralized routing protocols, geometric community detection, and the self-similar multiscale unfolding of networks by geometric renormalization. This Element reviews fundamental models and methods for the geometric description of real networks with a focus on applications of real network maps, including decentralized routing protocols, geometric community detection, and the self-similar multiscale unfolding of networks by geometric renormalization. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Add to basketPaperback. Condition: new. Paperback. Real networks comprise from hundreds to millions of interacting elements and permeate all contexts, from technology to biology to society. All of them display non-trivial connectivity patterns, including the small-world phenomenon, making nodes to be separated by a small number of intermediate links. As a consequence, networks present an apparent lack of metric structure and are difficult to map. Yet, many networks have a hidden geometry that enables meaningful maps in the two-dimensional hyperbolic plane. The discovery of such hidden geometry and the understanding of its role have become fundamental questions in network science giving rise to the field of network geometry. This Element reviews fundamental models and methods for the geometric description of real networks with a focus on applications of real network maps, including decentralized routing protocols, geometric community detection, and the self-similar multiscale unfolding of networks by geometric renormalization. This Element reviews fundamental models and methods for the geometric description of real networks with a focus on applications of real network maps, including decentralized routing protocols, geometric community detection, and the self-similar multiscale unfolding of networks by geometric renormalization. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1108791085 ISBN 13: 9781108791083
Language: English
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Add to basketPaperback. Condition: Brand New. 75 pages. 9.02x5.98x0.12 inches. In Stock. This item is printed on demand.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This Element reviews fundamental models and methods for the geometric description of real networks with a focus on applications of real network maps, including decentralized routing protocols, geometric community detection, and the self-similar multiscale u.