{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:04Z","timestamp":1747216144821,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643684000"},{"type":"electronic","value":"9781643684017"}],"license":[{"start":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T00:00:00Z","timestamp":1687996800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,29]]},"abstract":"<jats:p>Social Network Analysis (SNA) can promote Infosec awareness. A sample of 164 nurses selected the most trusted actors to get Infosec updates. UCINET 6 and NetDraw were used for mapping and PSPP 1.6.2 was used for data analysis. Nurses tend to trust managers, colleagues and IT professionals for retrieving Infosec updates.<\/jats:p>","DOI":"10.3233\/shti230494","type":"book-chapter","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:53:08Z","timestamp":1688111588000},"source":"Crossref","is-referenced-by-count":0,"title":["SNA: The Optimal Nodes to Raise Nurses\u2019 Infosec Awareness"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3222-1548","authenticated-orcid":false,"given":"Andriana","family":"Magdalinou","sequence":"first","affiliation":[{"name":"National and Kapodistrian University of Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Athena","family":"Kalokairinou","sequence":"additional","affiliation":[{"name":"National and Kapodistrian University of Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Flora","family":"Malamateniou","sequence":"additional","affiliation":[{"name":"National and Kapodistrian University of Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Mantas","sequence":"additional","affiliation":[{"name":"National and Kapodistrian University of Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Healthcare Transformation with Informatics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230494","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:53:09Z","timestamp":1688111589000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230494"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,29]]},"ISBN":["9781643684000","9781643684017"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230494","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2023,6,29]]}}}