Algorithms and Models for the Web Graph, 2014 11th International Workshop, WAW 2014, Beijing, China, December 17-18, 2014, Proceedings Theoretical Computer Science and General Issues Series
Coordonnateurs : Bonato Anthony, Graham Fan Chung, Prałat Paweł
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.
Clustering and the Hyperbolic Geometry of Complex Networks.- Burning a Graph as a Model of Social Contagion.- Personalized PageRank with Node-Dependent Restart.- Efficient Computation of the Weighted Clustering Coefficient.- Global Clustering Coefficient in Scale-Free Networks.- Efficient Primal-Dual Graph Algorithms for MapReduce.- Computing Diffusion State Distance Using Green’s Function and Heat Kernel on Graphs.- Relational Topic Factorization for Link Prediction in Document Networks.- Firefighting as a Game.- PageRank in Scale-Free Random Graphs.- Modelling of Trends in Twitter Using Retweet Graph Dynamics.- LiveRank: How to Refresh Old Crawls.
Includes supplementary material: sn.pub/extras
Date de parution : 11-2014
Ouvrage de 161 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 42,20 €
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Mots-clés :
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; Twitter; algorithm analysis and problem complexity