Partitioning Networks into Clusters and Residuals with Average Association

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F10%3A00345968" target="_blank" >RIV/67985807:_____/10:00345968 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Partitioning Networks into Clusters and Residuals with Average Association

Original language description

The paper proposes a method of partitioning the vertices of a network into sets with higher internal connectivity (clusters) and a residual set, which may be empty. The residual set contains vertices of the network which do not fit into any clusters.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FH - Neurology, neuro-surgery, nuero-sciences

OECD FORD branch

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Project

<a href="/en/project/7E08027" target="_blank" >7E08027: Large scale interactions in brain networks and their breakdown in brain diseases</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Chaos

ISSN

1054-1500

e-ISSN

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Volume of the periodical

20

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

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UT code for WoS article

000282438500003

EID of the result in the Scopus database

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