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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Dissertation
Facebook for Geese: The Causes and Consequences of Non-random Social Associations in a Group Forager
TL;DR: The evolution and development of social structure in fission-fusion societies were studied in this article, where repeated interactions, familiarity and cooperation were observed to be important factors in the evolution of social structures.
Proceedings ArticleDOI
DTNs back: DTNs broadcasting ACK
TL;DR: This paper focuses on the use of acknowledgements (ACKs), and model the network with a Markov chain, to study the effect of ACKs on buffer time occupancy, and an extensive set of simulations are run to analyse the influence of the memory proportion allocated to ACK's on the performance.
DissertationDOI
The phenotypic correlates of individual vulnerability to angling
TL;DR: The mechanistic basis of individual vulnerability to passive gear ............................... 7 1.2 Behavior ...................................................................................................................................... 8 1.3 Physiology ................................................................................................. 11 1.4 Life-history ................................................................................................................................. 13 1.5 Abiotic effects ........................... 15 2.1 Behavior, growth and vulnerability to angling ............................................................... 36 6.6.1 Environmental correlates of catch rate .......................................................................... 38
References
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TL;DR: This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.
Journal ArticleDOI
Complex networks: Structure and dynamics
TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.