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dc.contributor.authorSilk, MJ
dc.date.accessioned2017-08-14T11:47:39Z
dc.date.issued2017-06-20
dc.description.abstractSocial network analysis is now used widely to study social behaviour in humans and non-human animals, and missing individuals can represent a problem for network studies. This problem is becoming especially frequent in studies using bio-logging to collect interaction data, which is an approach used particularly frequently in the construction of animal networks. This therefore represents an important audience for Smith et al. (2017) who investigate how sub-sampling from networks impacts the outcome of subsequent analysis. Here I take advantage of the progress made by this paper to outline key issues that still require addressing to understand the effect of missing individuals on social network analysis.en_GB
dc.identifier.citationAvailable online 20 June 2017en_GB
dc.identifier.doi10.1016/j.socnet.2017.05.002
dc.identifier.urihttp://hdl.handle.net/10871/28897
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights.embargoreasonPublisher's policy.en_GB
dc.rights© 2017 Elsevier B.V.en_GB
dc.subjectnetwork samplingen_GB
dc.subjectprecisionen_GB
dc.subjectbiasen_GB
dc.subjectaccuracyen_GB
dc.subjectstatistical modellingen_GB
dc.titleThe next steps in the study of missing individuals in networks: A comment on Smith et al. (2017)en_GB
dc.typeArticleen_GB
dc.identifier.issn0378-8733
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.en_GB
dc.identifier.journalSocial Networksen_GB


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