Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8882)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): WAW: International Workshop on Modelling and Mining Networks
Conference proceedings info: WAW 2014.
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Table of contents (12 papers)
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Front Matter
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Back Matter
About this book
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.
Keywords
- Algorithmic Game Theory
- Algorithms on Graphs
- Clustering
- Coalitions
- Firefighter Problem
- Graph Dynamics
- Latent Dirichlet Allocation
- Link Prediction
- Machine Learning
- Matrix Factorization
- Nash Equilibria
- Price of Anarchy
- Random Graph Model
- Retweet Graph
- Social Networks
- Spreading Models for Networks
- algorithm analysis and problem complexity
Editors and Affiliations
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Ryerson University, Toronto, Canada
Anthony Bonato, Paweł Prałat
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University of California San Diego, La Jolla, USA
Fan Chung Graham
Bibliographic Information
Book Title: Algorithms and Models for the Web Graph
Book Subtitle: 11th International Workshop, WAW 2014, Beijing, China, December 17-18, 2014, Proceedings
Editors: Anthony Bonato, Fan Chung Graham, Paweł Prałat
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-13123-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-13122-1Published: 25 November 2014
eBook ISBN: 978-3-319-13123-8Published: 12 November 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 161
Number of Illustrations: 30 b/w illustrations
Topics: Algorithm Analysis and Problem Complexity, Discrete Mathematics in Computer Science, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Information Systems Applications (incl. Internet)