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dc.contributor.authorDahl, Christoph D.
dc.contributor.authorFerrando, Elodie
dc.contributor.authorZuberbühler, Klaus
dc.identifier.citationDahl , C D , Ferrando , E & Zuberbühler , K 2020 , ' An information-theory approach to geometry for animal groups ' , Animal Cognition , vol. 23 , no. 4 , pp. 807-817 .
dc.identifier.otherPURE: 268290334
dc.identifier.otherPURE UUID: d3df79c0-0d07-4ea7-a313-7f8d205a9253
dc.identifier.otherScopus: 85084500743
dc.identifier.otherORCID: /0000-0001-8378-088X/work/75248345
dc.identifier.otherWOS: 000531523400001
dc.descriptionThis study was funded via the Ambizione Fellowship of the Swiss National Science Foundation (SNSF) (PZ00P3_154741) and the Startup-funding of Taipei Medical University (108-6402-004-112) awarded to CDD as well as by project funding of the Swiss National Science Foundation (31003A_166458) awarded to KZ.en
dc.description.abstractOne of the hardest problems in studying animal behaviour is to quantify patterns of social interaction at the group level. Recent technological developments in global positioning system (GPS) devices have opened up new avenues for locating animals with unprecedented spatial and temporal resolution. Likewise, advances in computing power have enabled new levels of data analyses with complex mathematical models to address unresolved problems in animal behaviour, such as the nature of group geometry and the impact of group-level interactions on individuals. Here, we present an information theory-based tool for the analysis of group behaviour. We illustrate its affordances with GPS data collected from a freely interacting pack of 15 Siberian huskies (Canis lupus familiaris). We found that individual freedom in movement decisions was limited to about 4%, while a subject’s location could be predicted with 96% median accuracy by the locations of other group members. Dominant individuals were less affected by other individuals’ locations than subordinate ones, and same-sex individuals influenced each other more strongly than opposite-sex individuals. We also found that kinship relationships increased the mutual dependencies of individuals. Moreover, the network stability of the pack deteriorated with an upcoming feeding event. Together, we conclude that information theory-based approaches, coupled with state-of-the-art bio-logging technology, provide a powerful tool for future studies of animal social interactions beyond the dyadic level.
dc.relation.ispartofAnimal Cognitionen
dc.rightsCopyright © Springer-Verlag GmbH Germany, part of Springer Nature 2020. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at
dc.subjectCanis lupus familiarisen
dc.subjectGroup decisionen
dc.subjectKin relationen
dc.subjectSelfish herden
dc.subjectSiberian huskyen
dc.subjectSocial intelligenceen
dc.subjectSpatial cognitionen
dc.subjectBF Psychologyen
dc.subjectEcology, Evolution, Behavior and Systematicsen
dc.subjectExperimental and Cognitive Psychologyen
dc.titleAn information-theory approach to geometry for animal groupsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews.School of Psychology and Neuroscienceen
dc.contributor.institutionUniversity of St Andrews.Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews.Centre for Social Learning & Cognitive Evolutionen
dc.description.statusPeer revieweden

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