Extracting the hierarchical organization of complex systems.

摘要: Extracting understanding from the growing “sea” of biological and socioeconomic data is one most pressing scientific challenges facing us. Here, we introduce validate an unsupervised method for extracting hierarchical organization complex biological, social, technological networks. We define ensemble hierarchically nested random graphs, which use to method. then apply our real-world networks, including air-transportation network, electronic circuit, e-mail exchange metabolic Our analysis model real networks demonstrates that extracts accurate multiscale representation a system.