Omission and commission errors in network cognition and network estimation using ROC curve

Basit Öğe Kaydı
dc.authorid0000-0002-9122-5322en_US
dc.contributor.authorYenigün, Cemal Deniz
dc.contributor.authorErtan, G
dc.contributor.authorSiciliano, M
dc.date.accessioned2021-05-05T10:15:53Z
dc.date.available2021-05-05T10:15:53Z
dc.date.issued2017-07-01
dc.description.abstractNetwork studies on cognitive social structures collect relational data on respondents’ direct ties and their perception of ties among all other individuals in the network. When reporting their perception networks, respondents commit two types of errors, namely, omission (false negatives) and commission (false positives) errors. We first assess the relationship between these two error types, and their contributions on overall respondent accuracy. Next we propose a method for estimating networks based on perceptions of a random sample of respondents from a bounded social network, which utilizes the receiver operator characteristic curve for balancing the tradeoffs between omission and commission errors. © 2017 Elsevier B.V.en_US
dc.fullTextLevelFull Texten_US
dc.identifier.doi10.1016/j.socnet.2017.03.007
dc.identifier.issn0378-8733
dc.identifier.scopus2-s2.0-85016246142en_US
dc.identifier.urihttps://hdl.handle.net/11411/3628
dc.identifier.urihttps://doi.org/10.1016/j.socnet.2017.03.007
dc.identifier.wosWOS:000403527900004en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.nationalInternationalen_US
dc.numberofauthors3en_US
dc.pages26-34en_US
dc.publisherElsevieren_US
dc.relation.ispartofSocial Networksen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleOmission and commission errors in network cognition and network estimation using ROC curve
dc.typeArticle
dc.volume50en_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
2017Scopus.Yenigün.pdf
Boyut:
255.97 KB
Biçim:
Adobe Portable Document Format
Açıklama:
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.71 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Faculty of Engineering and Natural Sciences
Scopus Indexed Publications
Web of Science Indexed Publications