Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10519)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: WAW 2017.
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Table of contents (7 papers)
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Front Matter
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Back Matter
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Algorithms and Models for the Web Graph
Keywords
About this book
This book constitutes the proceedings of the 14th International Workshop Algorithms and Models for the Web Graph, WAW 2017, held in Toronto, ON, Canada, in June 2017. The 7 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The papers are organized around topics such as graphs that arise from the Web and various user activities on the Web; the development of high Performance algorithms and applications that exploit these graphs; graph-theoretic and algorithmic aspects of related complex networks; social networks, citation networks, biological networks; molecular networks, and other networks arising from the Internet.
Editors and Affiliations
Bibliographic Information
Book Title: Algorithms and Models for the Web Graph
Book Subtitle: 14th International Workshop, WAW 2017, Toronto, ON, Canada, June 15–16, 2017, Revised Selected Papers
Editors: Anthony Bonato, Fan Chung Graham, Paweł Prałat
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67810-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67809-2Published: 06 September 2017
eBook ISBN: 978-3-319-67810-8Published: 04 September 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 105
Number of Illustrations: 24 b/w illustrations
Topics: Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Computer Communication Networks, Artificial Intelligence