Algorithms and Models for the Web-Graph 6th International Workshop, WAW 2009, Barcelona, Spain, February 12-13, 2009. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Avrachenkov, Konstantin (Επιμελητής έκδοσης), Donato, Debora (Επιμελητής έκδοσης), Litvak, Nelly (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Lecture Notes in Computer Science, 5427
• Θέματα: Computer science.; Computer communication systems.; Algorithms.; Computer science > Mathematics.; Database management.; Data mining.; Computer Science.; Algorithm Analysis and Problem Complexity.; Discrete Mathematics in Computer Science.; Information Systems Applications (incl. Internet).; Data Mining and Knowledge Discovery.; Computer Communication Networks.; Database Management.

This book constitutes the refereed proceedings of the 6th International Workshop on Algorithms and Models for the Web-Graph, WAW 2009, held in Barcelona, Spain, in February 2009 - co-located with WSDM 2009, the Second ACM International Conference on Web Search and Data Mining. The 14 revised full pa...

Πίνακας περιεχομένων:

• Graph Models for Complex Networks
• Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
• Approximating the Number of Network Motifs
• Finding Dense Subgraphs with Size Bounds
• The Giant Component in a Random Subgraph of a Given Graph
• Quantifying the Impact of Information Aggregation on Complex Networks: A Temporal Perspective
• PageRank and Web Graph
• A Local Graph Partitioning Algorithm Using Heat Kernel Pagerank
• Choose the Damping, Choose the Ranking?
• Characterization of Tail Dependence for In-Degree and PageRank
• Web Page Rank Prediction with PCA and EM Clustering
• Permuting Web Graphs
• Social Networks and Search
• A Dynamic Model for On-Line Social Networks
• TC-SocialRank: Ranking the Social Web
• Exploiting Positive and Negative Graded Relevance Assessments for Content Recommendation
• Cluster Based Personalized Search.