Linear Work Generation of R-MAT Graphs
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- May 2019
- arXiv:
- arXiv:1905.03525
- Bibcode:
- 2019arXiv190503525H
- Keywords:
-
- Computer Science - Data Structures and Algorithms;
- Computer Science - Distributed;
- Parallel;
- and Cluster Computing;
- Computer Science - Discrete Mathematics;
- Computer Science - Social and Information Networks
- E-Print:
- Net Sci 8 (2020) 543-550