English

Linear Work Generation of R-MAT Graphs

Data Structures and Algorithms 2020-10-14 v1 Distributed, Parallel, and Cluster Computing Discrete Mathematics Social and Information Networks
Authors: Lorenz Hübschle-Schneider , Peter Sanders
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Abstract

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.

Keywords

graph generation graph theory graph algorithms

Cite

@article{arxiv.1905.03525,
  title  = {Linear Work Generation of R-MAT Graphs},
  author = {Lorenz Hübschle-Schneider and Peter Sanders},
  journal= {arXiv preprint arXiv:1905.03525},
  year   = {2020}
}

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