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Extracting the hierarchical organization of complex systems

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 netwo...

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Bibliographische Detailangaben
Hauptverfasser: Sales-Pardo, Marta, Guimerà, Roger, Moreira, André A., Amaral, Luís A. Nunes
Format: Artigo
Sprache:Inglês
Veröffentlicht: National Academy of Sciences 2007
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2000510/
https://ncbi.nlm.nih.gov/pubmed/17881571
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0703740104
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