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Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521840856 ISBN 13: 9780521840859
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Hardcover. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521840856 ISBN 13: 9780521840859
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hardcover. Zustand: Good. No dust jacket. Ex-library book with typical stickers and stampings. Priority Mail is available on this item. No international shipping.
Hard cover. Zustand: Good. No jacket. The cover is rubbed with bottom corner edges being slightly bumped. The top and bottom edges of the spine are bumped. Binding is tight and inside is clean and unmarked.
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Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521840856 ISBN 13: 9780521840859
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Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521840856 ISBN 13: 9780521840859
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Zustand: New. A comprehensive, sweeping work by an acclaimed team of authors at the forefront of this hot topic, Understanding Large Temporal Networks and Spatial Networks explores the different approaches to studying large temporal and spatial networks and links them to computationally sound models of changing structure to detect patterns. Series: Wiley Series in Computational and Quantitative Social Science. Num Pages: 464 pages. BIC Classification: JHB; UYQ. Category: (P) Professional & Vocational. Dimension: 251 x 171 x 26. Weight in Grams: 1040. . 2014. Hardback. . . . .
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Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521840856 ISBN 13: 9780521840859
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Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521840856 ISBN 13: 9780521840859
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Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119224705 ISBN 13: 9781119224709
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Hardcover. Zustand: new. Hardcover. Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodelingProvides an excellent mix of mathematical rigor and practical application in a comprehensive mannerPresents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arraysFeatures numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectivelyWritten by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Zustand: New. A comprehensive, sweeping work by an acclaimed team of authors at the forefront of this hot topic, Understanding Large Temporal Networks and Spatial Networks explores the different approaches to studying large temporal and spatial networks and links them to computationally sound models of changing structure to detect patterns. Series: Wiley Series in Computational and Quantitative Social Science. Num Pages: 464 pages. BIC Classification: JHB; UYQ. Category: (P) Professional & Vocational. Dimension: 251 x 171 x 26. Weight in Grams: 1040. . 2014. Hardback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521840856 ISBN 13: 9780521840859
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521840856 ISBN 13: 9780521840859
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In den WarenkorbZustand: New. Brand new! Please provide a physical shipping address.
Sprache: Englisch
Verlag: Cambridge University Press, 2005
ISBN 10: 0521840856 ISBN 13: 9780521840859
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Erstausgabe
Gebundene Ausgabe. first edition. 384 S. Lager- und Gebrauchsspuren. Ausgeschiedenes Bibliotheksexemplar mit den üblichen Kennzeichnungen. Die Leseseiten sind sauber und ohne Anstreichungen oder Knicke. 9780521840859 Sprache: Englisch Gewicht in Gramm: 662.
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Erstausgabe
Zustand: New. 2020. 1st Edition. Hardcover. . . . . .
Sprache: Englisch
Verlag: Cambridge University Press CUP, 2004
ISBN 10: 0521840856 ISBN 13: 9780521840859
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Zustand: New. pp. 402.
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In den WarenkorbHardcover. Zustand: Brand New. 384 pages. 9.00x6.02x1.25 inches. In Stock.
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Zustand: New. 2020. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119224705 ISBN 13: 9781119224709
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EUR 132,00
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In den WarenkorbHardcover. Zustand: new. Hardcover. Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodelingProvides an excellent mix of mathematical rigor and practical application in a comprehensive mannerPresents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arraysFeatures numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectivelyWritten by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.