Linear Work Generation of R-MAT Graphs
R-MAT is a simple, widely used recursive model for generating `complex network' graphs with a power law degree distribution and community structure. We make R-MAT even more useful by reducing the required work per edge from logarithmic to constant. The algorithm works in an embarrassingly parallel way.
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Categories
Data Structures and Algorithms
Distributed, Parallel, and Cluster Computing
Discrete Mathematics
Social and Information Networks
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