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Networks and connectivity: metrics and models

dc.contributor.authorCavique, Luís
dc.date.accessioned2025-10-13T15:30:49Z
dc.date.available2025-10-13T15:30:49Z
dc.date.issued2024-12-24
dc.description.abstractThis work explores network science to understand and visualize the intricate interconnectivity within organizations. The age of big data emphasizes the importance of deriving new insights by transforming data into networks to study their connections. The document introduces a three-step maturity framework for navigating network science, starting with the basics of network construction, moving on to standard metrics, and examining network topology and dynamics. The authors aim to clarify the subject and encourage further exploration, suggesting that while network science may not have all the answers, it offers a critical analytical framework.eng
dc.identifier.doi10.1007/978-3-031-75996-3_4
dc.identifier.isbn978-3-031-75998-7
dc.identifier.urihttp://hdl.handle.net/10400.2/20349
dc.language.isoeng
dc.peerreviewedyes
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectNetworks metrics
dc.subjectNetworks models
dc.subjectSocial networks analysis
dc.titleNetworks and connectivity: metrics and modelseng
dc.typebook part
dspace.entity.typePublication
oaire.citation.titleThe Agent ID Model: a multidisciplinary framework of evolutionary human behavior
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCavique
person.givenNameLuís
person.identifier.ciencia-id911E-84AC-3956
person.identifier.orcid0000-0002-5590-1493
relation.isAuthorOfPublication40906a16-46a2-42f1-b26d-7db7012294ee
relation.isAuthorOfPublication.latestForDiscovery40906a16-46a2-42f1-b26d-7db7012294ee

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