Generating Scaled Replicas of Real-World Complex Networks

@inproceedings{Staudt2016GeneratingSR,
  title={Generating Scaled Replicas of Real-World Complex Networks},
  author={Christian Staudt and Michael Hamann and Ilya Safro and Alexander Gutfraind and Henning Meyerhenke},
  booktitle={COMPLEX NETWORKS},
  year={2016}
}
Research on generative models plays a central role in the emerging field of network science, studying how statistical patterns found in real networks can be generated by formal rules. During the last two decades, a variety of models has been proposed with an ultimate goal of achieving comprehensive realism for the generated networks. In this study, we (a) introduce a new generator, termed ReCoN; (b) explore how models can be fitted to an original network to produce a structurally similar… 

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