Hierarchical Block Structures and High-Resolution Model Selection in Large Networks

Social, technological, and biological networks are known to organize into modules or ``communities.'' Characterizing and identifying modules is highly nontrivial and still an outstanding problem in networks research. A new approach uses both the concept of modular hierarchy for network construction and the methods of statistical inference to address this problem, succeeding where the existing approaches see difficulties.