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Algorithms and Models for the Web Graph [electronic resource] : 12th International Workshop, WAW 2015, Eindhoven, The Netherlands, December 10-11, 2015, Proceedings / edited by David F. Gleich, J�ulia Komj�athy, Nelly Litvak.

Contributor(s): Gleich, David F [editor.] | Komj�athy, J�ulia [editor.] | Litvak, Nelly [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9479Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015.Description: VIII, 203 p. 17 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319267845.Subject(s): Computer science | Computer communication systems | Algorithms | Computer science -- Mathematics | Data mining | Information storage and retrieval | Computer Science | Algorithm Analysis and Problem Complexity | Discrete Mathematics in Computer Science | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Information Systems Applications (incl. Internet) | Computer Communication NetworksAdditional physical formats: Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online In: Springer eBooksSummary: This book constitutes the proceedings of the 12th International Workshop on Algorithms and Models for the Web Graph, WAW 2015, held in Eindhoven, The Netherlands, in December 2015. The 15 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They are organized in topical sections named: properties of large graph models, dynamic processes on large graphs, and properties of PageRank on large graphs.
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This book constitutes the proceedings of the 12th International Workshop on Algorithms and Models for the Web Graph, WAW 2015, held in Eindhoven, The Netherlands, in December 2015. The 15 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They are organized in topical sections named: properties of large graph models, dynamic processes on large graphs, and properties of PageRank on large graphs.

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