English

Scalable Generation of Scale-free Graphs

Data Structures and Algorithms 2016-02-24 v1 Distributed, Parallel, and Cluster Computing Social and Information Networks

Abstract

We explain how massive instances of scale-free graphs following the Barabasi-Albert model can be generated very quickly in an embarrassingly parallel way. This makes this popular model available for studying big data graph problems. As a demonstration, we generated a Petaedge graph in less than an hour.

Cite

@article{arxiv.1602.07106,
  title  = {Scalable Generation of Scale-free Graphs},
  author = {Peter Sanders and Christian Schulz},
  journal= {arXiv preprint arXiv:1602.07106},
  year   = {2016}
}
R2 v1 2026-06-22T12:55:50.187Z