Darwini: Generating realistic large-scale social graphs

@article{Edunov2016DarwiniGR,
  title={Darwini: Generating realistic large-scale social graphs},
  author={Sergey Edunov and Dionysios Logothetis and Cheng Wang and Avery Ching and Maja Kabiljo},
  journal={CoRR},
  year={2016},
  volume={abs/1610.00664}
}
Synthetic graph generators facilitate research in graph algorithms and processing systems by providing access to data, for instance, graphs resembling social networks, while circumventing privacy and security concerns. Nevertheless, their practical value lies in their ability to capture important metrics of real graphs, such as degree distribution and clustering properties. Graph generators must also be able to produce such graphs at the scale of real-world industry graphs, that is, hundreds of… CONTINUE READING
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