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Granularity of personal intelligence in social networks

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dc.citedby1
dc.contributor.authorIsmail S.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorHassan Z.en_US
dc.contributor.authorid57225447357en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid13607947600en_US
dc.date.accessioned2023-05-16T02:46:18Z
dc.date.available2023-05-16T02:46:18Z
dc.date.issued2014
dc.description.abstractThis chapter introduces and exposes the latest development of agent-modeling framework that emerges from understanding the human behaviour of personal knowledge management (PKM) in social networks. The growing interest in personal knowledge management in exposing personal intelligence has brought out the postulation of GUSC model, which becomes the basis of agent-mediated PKM. In micro view, this GUSC model is the significant tool in understanding the granularity of personal intelligence in social networks. It eventually leads to a theoretical treatment on the bottom-up manifestation of organisational knowledge management from individual PKM processes. © 2014 Springer International Publishing Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-319-02993-1_10
dc.identifier.epage224
dc.identifier.scopus2-s2.0-84958531109
dc.identifier.spage201
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958531109&doi=10.1007%2f978-3-319-02993-1_10&partnerID=40&md5=e4097333e621119822c5b498bd7e7601
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21961
dc.identifier.volume526
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleStudies in Computational Intelligence
dc.titleGranularity of personal intelligence in social networksen_US
dc.typeArticleen_US
dspace.entity.typePublication
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