Highly Influential

Research in complex networks has focused on the use of random graph generators as models for the topology of complex systems. Although a range of generators has been proposed, the standard generators cannot capture the topology of many systems with high fidelity. We argue that parameter-tuning is necessary to enable graph generators to create high-fidelity… (More)

@inproceedings{Wang2008TradeoffsIH,
title={Tradeoffs in High-Fidelity Modeling of Spatial Complex Systems},
author={Jun Wang and Gregory Provan},
year={2008}
}