Maximum-Entropy Networks
-15%
portes grátis
Maximum-Entropy Networks
Pattern Detection, Network Reconstruction and Graph Combinatorics
Garlaschelli, Diego; Squartini, Tiziano
Springer International Publishing AG
11/2017
116
Mole
Inglês
9783319694368
15 a 20 dias
A final chapter offers various overarching remarks and take-home messages.By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
A final chapter offers various overarching remarks and take-home messages.By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
