Publication | Open Access
A round-efficient distributed betweenness centrality algorithm
32
Citations
46
References
2019
Year
Unknown Venue
Cluster ComputingDirected GraphEngineeringPresent Min-rounds BcNetwork AnalysisComputational ComplexityGraph ProcessingComputational Social ScienceData ScienceStructural Graph TheoryParallel ComputingCombinatorial OptimizationSocial Network AnalysisGraph AlgorithmsCongest ModelKnowledge DiscoveryComputer EngineeringComputer ScienceSocial Network AggregationGraph AlgorithmMin-rounds BcNetwork ScienceGraph TheoryNetwork AlgorithmBusinessParallel Programming
We present Min-Rounds BC (MRBC), a distributed-memory algorithm in the CONGEST model that computes the betweenness centrality (BC) of every vertex in a directed unweighted n-node graph in O(n) rounds. Min-Rounds BC also computes all-pairs-shortest-paths (APSP) in such graphs. It improves the number of rounds by at least a constant factor over previous results for unweighted directed APSP and for unweighted BC, both directed and undirected.
| Year | Citations | |
|---|---|---|
Page 1
Page 1