Reality mining of animal social systems

Jens Krause, Stefan Krause, Robert Arlinghaus, Ioannis Psorakis, Stephen Roberts, Christian Rutz

Research output: Contribution to journalReview articlepeer-review

193 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)541–551
JournalTrends in Ecology and Evolution
Volume28
Issue number9
Publication statusPublished - 2013

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