Publication:
Perception accuracy, biases and path dependency in longitudinal social networks

dc.contributor.coauthorSiciliano, Michael D.
dc.contributor.coauthorYenigün, Deniz
dc.contributor.departmentDepartment of International Relations
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of International Relations
dc.contributor.schoolcollegeinstituteCollege of Administrative Sciences and Economics
dc.contributor.yokid219276
dc.date.accessioned2024-11-09T12:39:03Z
dc.date.issued2019
dc.description.abstractMost studies on perceptions of social structures in organizations rely on cross-sectional evidence and lack a longitudinal perspective. In order to address this gap, we collected whole network perception data at three time points from a cohort of MBA students. First, we asked whether or not individuals become more accurate in their perception of the network over time. We found no significant increase in accuracy. Second, we examined one’s perception of his or her own direct ties and found a consistent tendency to inflate incoming friendship ties, confirming existing studies. However, we find that individuals were quite capable of recognizing the broader dynamics of social hierarchy (i.e., whether they were becoming more or less popular) even as they became no more accurate in understanding either the overall networks or their own ego-net. Third, we explored possible explanations for the persistence of perception errors and showed that most of the errors at time point two and time point three were due to a failure to update previous perception decisions. Finally, we shifted the analysis from accuracy at a given time point and considered the narrative arc of dyadic relations. Our findings suggest that stable dyads across time are more likely to be accurately perceived whereas other types of dyads are poorly tracked. We conclude by presenting possible research questions for future studies to further our understanding of the temporal aspects of network perception.
dc.description.fulltextYES
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue6
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipN/A
dc.description.versionPublisher version
dc.description.volume14
dc.formatpdf
dc.identifier.doi10.1371/journal.pone.0218607
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR01638
dc.identifier.issn1932-6203
dc.identifier.linkhttps://doi.org/10.1371/journal.pone.0218607
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-85067389594
dc.identifier.urihttps://hdl.handle.net/20.500.14288/2041
dc.identifier.wos484891700039
dc.keywordsPolitical landscape
dc.keywordsInference
dc.keywordsCognition
dc.keywordsAltruism
dc.keywordsBalance
dc.keywordsPower
dc.languageEnglish
dc.publisherPublic Library of Science
dc.relation.grantnoNA
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/8259
dc.sourcePLOS One
dc.subjectScience and technology
dc.titlePerception accuracy, biases and path dependency in longitudinal social networks
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0002-7997-6748
local.contributor.kuauthorYenigün, Güneş Ertan
relation.isOrgUnitOfPublication9fc25a77-75a8-48c0-8878-02d9b71a9126
relation.isOrgUnitOfPublication.latestForDiscovery9fc25a77-75a8-48c0-8878-02d9b71a9126

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