Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-017-01189-w
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dc.titleThe diverse club
dc.contributor.authorBertolero, M.A
dc.contributor.authorYeo, B.T.T
dc.contributor.authorD'Esposito, M
dc.date.accessioned2020-10-20T10:19:34Z
dc.date.available2020-10-20T10:19:34Z
dc.date.issued2017
dc.identifier.citationBertolero, M.A, Yeo, B.T.T, D'Esposito, M (2017). The diverse club. Nature Communications 8 (1) : 1277. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-017-01189-w
dc.identifier.issn2041-1723
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/178561
dc.description.abstractA complex system can be represented and analyzed as a network, where nodes represent the units of the network and edges represent connections between those units. For example, a brain network represents neurons as nodes and axons between neurons as edges. In many networks, some nodes have a disproportionately high number of edges as well as many edges between each other and are referred to as the "rich club". In many different networks, the nodes of this club are assumed to support global network integration. Here we show that another set of nodes, which have edges diversely distributed across the network, form a "diverse club". The diverse club exhibits, to a greater extent than the rich club, properties consistent with an integrative network function - these nodes are more highly interconnected and their edges are more critical for efficient global integration. Finally, these two clubs potentially evolved via distinct selection pressures. © 2017 The Author(s).
dc.publisherNature Publishing Group
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectalgorithm
dc.subjectbrain
dc.subjectcommunication
dc.subjectcommunity structure
dc.subjectnervous system
dc.subjectneurology
dc.subjectArticle
dc.subjectaxon
dc.subjectCaenorhabditis elegans
dc.subjectcognition
dc.subjectcommunity structure
dc.subjectfunctional magnetic resonance imaging
dc.subjecthuman
dc.subjectintegration
dc.subjectnerve cell
dc.subjectnerve cell network
dc.subjectnonhuman
dc.subjectresting state network
dc.subjecttime series analysis
dc.subjectworking memory
dc.subjectanimal
dc.subjectaviation
dc.subjectaxon
dc.subjectbrain
dc.subjectMacaca
dc.subjectpower supply
dc.subjectwhite matter
dc.subjectUnited States
dc.subjectAir Travel
dc.subjectAnimals
dc.subjectAxons
dc.subjectBrain
dc.subjectCaenorhabditis elegans
dc.subjectElectric Power Supplies
dc.subjectHumans
dc.subjectMacaca
dc.subjectNerve Net
dc.subjectWhite Matter
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.1038/s41467-017-01189-w
dc.description.sourcetitleNature Communications
dc.description.volume8
dc.description.issue1
dc.description.page1277
dc.published.statepublished
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