Algorithms and Models for the Web Graph [electronic resource] : 11th International Workshop, WAW 2014, Beijing, China, December 17-18, 2014, Proceedings / edited by Anthony Bonato, Fan Chung Graham, Pawe� Pra�at.
Contributor(s): Bonato, Anthony [editor.] | Graham, Fan Chung [editor.] | Pra�at, Pawe� [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 8882Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: IX, 161 p. 30 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319131238.Subject(s): Computer science | 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)Additional physical formats: Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms and Models for the Web Graph, WAW 2014, held in Beijing, China, in December 2014. The 12 papers presented were carefully reviewed and selected for inclusion in this volume. The aim of the workshop was to further the understanding of graphs that arise from the Web and various user activities on the Web, and stimulate the development of high-performance algorithms and applications that exploit these graphs. The workshop gathered the researchers who are working on graph-theoretic and algorithmic aspects of related complex networks, including social networks, citation networks, biological networks, molecular networks, and other networks arising from the Internet.
This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms and Models for the Web Graph, WAW 2014, held in Beijing, China, in December 2014. The 12 papers presented were carefully reviewed and selected for inclusion in this volume. The aim of the workshop was to further the understanding of graphs that arise from the Web and various user activities on the Web, and stimulate the development of high-performance algorithms and applications that exploit these graphs. The workshop gathered the researchers who are working on graph-theoretic and algorithmic aspects of related complex networks, including social networks, citation networks, biological networks, molecular networks, and other networks arising from the Internet.
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