Establish the expected number of induced motifs on unlabeled graphs through analytical models
Establish the expected number of induced motifs on unlabeled graphs through analytical models
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Cham: Springer International Publishing
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Language
English
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Cham: Springer International Publishing
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Complex networks are usually characterized by the presence of small and recurrent patterns of interactions between nodes, called network motifs. These small modules can help to elucidate the structure and the functioning of complex systems. Assessing the statistical significance of a pattern as a motif in a network
G
is a time consuming task...
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Full title
Establish the expected number of induced motifs on unlabeled graphs through analytical models
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TN_cdi_doaj_primary_oai_doaj_org_article_98e0c1befcfc45ccb1f0d9f591479cee
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_98e0c1befcfc45ccb1f0d9f591479cee
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ISSN
2364-8228
E-ISSN
2364-8228
DOI
10.1007/s41109-020-00294-y
