Buch, Englisch, Band 4863, 217 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 361 g
5th International Workshop, WAW 2007, San Diego, CA, USA, December 11-12, 2007, Proceedings
Buch, Englisch, Band 4863, 217 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 361 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-77003-9
Verlag: Springer
This book constitutes the refereed proceedings of the 5th International Workshop on Algorithms and Models for the Web-Graph, WAW 2007, held in San Diego, CA, USA, in December 2007 - colocated with WINE 2007, the Third International Workshop on Internet and Network Economics. The 13 revised full papers and five revised short papers presented were carefully reviewed and selected from a large pool of submissions for inclusion in the book. The papers address a wide variety of topics.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Externe Speicher & Peripheriegeräte
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Zeichen- und Zahlendarstellungen
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenkompression, Dokumentaustauschformate
Weitere Infos & Material
Bias Reduction in Traceroute Sampling – Towards a More Accurate Map of the Internet.- Distribution of PageRank Mass Among Principle Components of the Web.- Finding a Dense-Core in Jellyfish Graphs.- A Geometric Preferential Attachment Model of Networks II.- Clustering Social Networks.- Manipulation-Resistant Reputations Using Hitting Time.- Using Polynomial Chaos to Compute the Influence of Multiple Random Surfers in the PageRank Model.- A Spatial Web Graph Model with Local Influence Regions.- Determining Factors Behind the PageRank Log-Log Plot.- Approximating Betweenness Centrality.- Random Dot Product Graph Models for Social Networks.- Local Computation of PageRank Contributions.- Local Partitioning for Directed Graphs Using PageRank.- Stochastic Kronecker Graphs.- Deterministic Decentralized Search in Random Graphs.- Using Bloom Filters to Speed Up HITS-Like Ranking Algorithms.- Parallelizing the Computation of PageRank.- Giant Component and Connectivity in Geographical Threshold Graphs.
