Extracting the hierarchical organization of complex systems.

@article{SalesPardo2007ExtractingTH,
  title={Extracting the hierarchical organization of complex systems.},
  author={Marta Sales-Pardo and Roger Guimer{\`a} and Andr{\'e} Auto Moreira and Luis A. Nunes Amaral},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2007},
  volume={104 39},
  pages={
          15224-9
        }
}
Extracting understanding from the growing "sea" of biological and socioeconomic data is one of the most pressing scientific challenges facing us. Here, we introduce and validate an unsupervised method for extracting the hierarchical organization of complex biological, social, and technological networks. We define an ensemble of hierarchically nested random graphs, which we use to validate the method. We then apply our method to real-world networks, including the air-transportation network, an… CONTINUE READING

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