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.
Hierarchical Block Structures and High-Resolution Model Selection in Large Networks
Tiago P. Peixoto
Phys. Rev. X 4, 011047 (2014)