Journal ArticleDOI
Reality mining of animal social systems.
Jens Krause,Stefan Krause,Robert Arlinghaus,Robert Arlinghaus,Ioannis Psorakis,Stephen J. Roberts,Christian Rutz +6 more
TLDR
Important issues concerning the collection of data on the social dynamics of almost entire populations of individuals, and their processing and analysis, are reviewed to identify the most promising approaches in the emerging field of 'reality mining'.Abstract:
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.read more
Citations
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Journal ArticleDOI
Constructing, conducting and interpreting animal social network analysis
TL;DR: The under‐exploited potential of experimental manipulations on social networks to address research questions is highlighted, and an overview of methods for quantifying properties of nodes and networks, as well as for testing hypotheses concerning network structure and network processes are provided.
Journal ArticleDOI
Automated image-based tracking and its application in ecology
Anthony I. Dell,John A. Bender,Kristin Branson,Iain D. Couzin,Gonzalo G. de Polavieja,Lucas P. J. J. Noldus,Alfonso Pérez-Escudero,Pietro Perona,Andrew Straw,Martin Wikelski,Martin Wikelski,Ulrich Brose +11 more
TL;DR: Automated image-based tracking should continue to advance the field of ecology by enabling better understanding of the linkages between individual and higher-level ecological processes, via high-throughput quantitative analysis of complex ecological patterns and processes across scales, including analysis of environmental drivers.
Journal ArticleDOI
Applications of machine learning in animal behaviour studies
TL;DR: This review aims to introduce animal behaviourists unfamiliar with machine learning (ML) to the promise of these techniques for the analysis of complex behavioural data and illustrate key ML approaches by developing data analytical pipelines for three different case studies that exemplify the types of behavioural and ecological questions ML can address.
Journal ArticleDOI
A guide to null models for animal social network analysis.
TL;DR: It is shown that permutations of the raw observational (or ‘pre‐network’) data consistently account for underlying structure in the generated social network, and thus can reduce both type I and type II error rates.
Journal ArticleDOI
Infectious disease transmission and contact networks in wildlife and livestock
TL;DR: The rising popularity of network approaches for understanding transmission dynamics in wild animal and livestock populations is described; the common mismatch between contact networks as measured in animal behaviour and relevant parasites to match those networks is discussed; and knowledge gaps in how to collect and analyse contact data are highlighted.
References
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From sensor data to animal behaviour: an oystercatcher example
Judy Shamoun-Baranes,Roeland A. Bom,E. Emiel van Loon,Bruno J. Ens,Kees Oosterbeek,Willem Bouten +5 more
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Automatic life-long monitoring of individual insect behaviour now possible.
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Journal ArticleDOI
Applications of radio frequency identification (RFID) in ornithological research: a review
David N. Bonter,Eli S. Bridge +1 more
TL;DR: In addition, RFID technology can be linked with other instruments, such as automated weighing devices, video cameras, infrared beams to detect the direction of movement, and temperature loggers, to collect additional data as discussed by the authors.
Journal ArticleDOI
Computational social science: Making the links
TL;DR: From e-mails to social networks, the digital traces left by life in the modern world are transforming social science as mentioned in this paper, and they are transforming the field of social science as well.
Journal ArticleDOI
Selfish-herd behaviour of sheep under threat
Andrew J. King,Alan M. Wilson,Simon Wilshin,J. C. Lowe,Hamed Haddadi,Stephen Hailes,A. Jennifer Morton +6 more
TL;DR: GPS data used to characterise the response of a group of 'prey' animals (a flock of sheep) to an approaching 'predator' (a herding dog) showed that sheep exhibit a strong attraction towards the centre of the flock under threat, supporting the long-standing assertion that individuals can respond to potential danger by moving towards the centres of a fleeing group.