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
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Posted ContentDOI
Association Indices For Quantifying Social Relationships: How To Deal With Missing Observations Of Individuals Or Groups
William Hoppitt,Damien R. Farine +1 more
TL;DR: It is concluded that using calibration data is an important step when constructing animal social networks, and that in their absence, researchers should use a simple estimator and explicitly consider the impact of this on their findings.
Journal ArticleDOI
Between- and within-individual variation in activity increases with water temperature in wild perch
Shinnosuke Nakayama,Shinnosuke Nakayama,Kate L. Laskowski,Thomas Klefoth,Robert Arlinghaus,Robert Arlinghaus +5 more
TL;DR: The best-fit model revealed that rising water temperature led to an increase in both between and within-individual variation in activity, thereby stabilizing behavioral repeatability across temperature, suggesting that consistent individual differences in behavior could be partially explained by factors such as slowly changing states in the wild.
Journal ArticleDOI
Social Information Transmission in Animals: Lessons from Studies of Diffusion
Julie Duboscq,Julie Duboscq,Julie Duboscq,Valéria Romano,Valéria Romano,Andrew J. J. MacIntosh,Andrew J. J. MacIntosh,Cédric Sueur,Cédric Sueur +8 more
TL;DR: A major focus is the transmission of information from an individual (or group thereof) to another, and the factors that can enhance or inhibit it, and reasons why social transmission sometimes does not occur despite being expected to.
Journal ArticleDOI
How Can We Study the Evolution of Animal Minds
Maxime Cauchoix,Alexis S. Chaine +1 more
TL;DR: The overall goal in this review is to build a bridge between cognitive neuroscientists and evolutionary biologists, illustrate how their research could be complementary, and encourage evolutionary ecologists to include explicit attention to cognitive processes in their studies of behavior.
Journal ArticleDOI
How Big Data Fast Tracked Human Mobility Research and the Lessons for Animal Movement Ecology
Michele Thums,Juan Fernández-Gracia,Ana M. M. Sequeira,Víctor M. Eguíluz,Carlos M. Duarte,Carlos M. Duarte,Mark G. Meekan +6 more
TL;DR: In this article, an ARC Grant DE170100841 and an IOMRC (UWA, AIMS, CSIRO) fellowship were used to support AMMS, which was supported by Agencia Estatal de Investigacion (AEI, Spain) and Fondo Europeo de Desarrollo Regional (FEDER) through project SPASIMM.
References
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Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Book
Social Network Analysis: Methods and Applications
TL;DR: This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of Dyadic and Triadic Interaction Models, which describes the relationships between actor and group measures and the structure of networks.
Journal ArticleDOI
Social Network Analysis: Methods and Applications.
TL;DR: This work characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links that connect them.
Book
Networks: An Introduction
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.