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DOI: 10.1016/j.tree.2013.06.002
论文题名:
Reality mining of animal social systems
作者: Krause J.; Krause S.; Arlinghaus R.; Psorakis I.; Roberts S.; Rutz C.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2013
卷: 28, 期:9
起始页码: 541
结束页码: 551
语种: 英语
英文关键词: Animal social network ; Biologging ; Biotelemetry ; Group-living ; High-resolution data ; Movement ; Proximity logging ; Social behaviour
Scopus关键词: animal ; biotelemetry ; data mining ; data processing ; data set ; movement ; social behavior ; social network ; social structure ; Animalia ; animal ; animal social network ; biologging ; biological model ; bird ; data mining ; equipment ; evaluation study ; group-living ; high-resolution data ; human ; information processing ; methodology ; movement (physiology) ; physiology ; proximity logging ; remote sensing ; review ; social behavior ; telemetry ; animal social network ; biologging ; biotelemetry ; group-living ; high-resolution data ; movement ; proximity logging ; social behaviour ; Animals ; Automatic Data Processing ; Birds ; Data Mining ; Humans ; Models, Biological ; Movement ; Remote Sensing Technology ; Social Behavior
英文摘要: The increasing miniaturisation of animal-tracking technology has made it possible to gather exceptionally detailed machine-sensed data on the social dynamics of almost entire populations of individuals, in both terrestrial and aquatic study systems. Here, we review important issues concerning the collection of such data, and their processing and analysis, to identify the most promising approaches in the emerging field of 'reality mining'. Automated technologies can provide data sensing at time intervals small enough to close the gap between social patterns and their underlying processes, providing insights into how social structures arise and change dynamically over different timescales. Especially in conjunction with experimental manipulations, reality mining promises significant advances in basic and applied research on animal social systems. © 2013 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67379
Appears in Collections:全球变化的国际研究计划
气候变化与战略

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作者单位: Department of Biology and Ecology of Fishes, Leibniz Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany; Department for Crop and Animal Sciences, Humboldt-Universität zu Berlin, Invalidenstrasse 42, 10115 Berlin, Germany; Department of Electrical Engineering and Computer Science, Lübeck University of Applied Sciences, 23562 Lübeck, Germany; Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, United Kingdom; Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS, United Kingdom; School of Biology, University of St Andrews, Sir Harold Mitchell Building, St Andrews, KY16 9TH, United Kingdom

Recommended Citation:
Krause J.,Krause S.,Arlinghaus R.,et al. Reality mining of animal social systems[J]. Trends in Ecology and Evolution,2013-01-01,28(9)
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