内容

目次

Introduction.- Maximum-entropy ensembles of graphs.- Constructing constrained graph ensembles: why and how?.- Comparing models obtained from different constraints.- Pattern detection.- Detecting assortativity and clustering.- Detecting dyadic motifs.- Detecting triadic motifs.- Some extensions to weighted networks.- Network reconstruction.- Reconstructing network properties from partial information.- The Enhanced Configuration Model.- Further reducing the observational requirements.- Graph combinatorics.- A dual route to combinatorics?.- ‘Soft’ combinatorial enumeration.- Quantifying ensemble (non)equivalence.- Breaking of equivalence between ensembles.- Implications of (non)equivalence for combinatorics.- “What then shall we choose?” Hardness or softness?.- Concluding remarks.