Publication | Closed Access
Estimating PageRank on graph streams
76
Citations
23
References
2008
Year
Unknown Venue
Cluster ComputingEngineeringStreaming ModelLarge GraphsNetwork AnalysisStreaming AlgorithmGraph ProcessingData ScienceParallel ComputingGraph StreamsProbabilistic Graph TheoryStatisticsSocial Network AnalysisStream ProcessingKnowledge DiscoveryComputer ScienceGraph AlgorithmNetwork ScienceGraph TheoryBusinessParallel ProgrammingGraph AnalysisSmall Amount
This study focuses on computations on large graphs (e.g., the web-graph) where the edges of the graph are presented as a stream. The objective in the streaming model is to use small amount of memory (preferably sub-linear in the number of nodes n) and a few passes.
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