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Algorithms and Models for the Web-Graph [electronic resource] : 5th International Workshop, WAW 2007, San Diego, CA, USA, December 11-12, 2007, Proceedings / edited by Anthony Bonato, Fan R.K. Chung.

Medverkande: Materialtyp: TextSerie: Utgivningsuppgift: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007Utgåva: 1st ed. 2007Beskrivning: X, 217 p. online resourceInnehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783540770046
Ämnen: DDK-klassifikation:
  • 004.0151 23
Onlineresurser:
Innehåll:
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.
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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.

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