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Revealing the predictability of intrinsic structure in complex networks

Revealing the predictability of intrinsic structure in complex networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7df6d84fc6ed41f38d5c66f17dc5138c

Revealing the predictability of intrinsic structure in complex networks

About this item

Full title

Revealing the predictability of intrinsic structure in complex networks

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2020-01, Vol.11 (1), p.574-574, Article 574

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Structure prediction is an important and widely studied problem in network science and machine learning, finding its applications in various fields. Despite the significant progress in prediction algorithms, the fundamental predictability of structures remains unclear, as networks’ complex underlying formation dynamics are usually unobserved or dif...

Alternative Titles

Full title

Revealing the predictability of intrinsic structure in complex networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7df6d84fc6ed41f38d5c66f17dc5138c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7df6d84fc6ed41f38d5c66f17dc5138c

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-020-14418-6

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