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Journal ArticleDOI

Reality mining of animal social systems.

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.

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Journal ArticleDOI

Encountering a bait is necessary but insufficient to explain individual variability in vulnerability to angling in two freshwater benthivorous fish in the wild.

TL;DR: Fishing-induced selection on encounter-based behaviours in recreational angling for benthivorous fish in the wild appears unlikely and the data cumulatively suggest that fine-scale behaviours after encountering a bait may be ultimately decisive for determining vulnerability to angling in benthovorous fish.
Journal ArticleDOI

Consistent size-independent harvest selection on fish body shape in two recreationally exploited marine species.

TL;DR: It is shown that individuals with larger-sized mouths and more streamlined and elongated bodies were more vulnerable to passively operated hook-and-line fishing independent of the individual's body size or condition.
Journal ArticleDOI

A multi-species repository of social networks.

TL;DR: The ASNR is introduced, as the first multi-taxonomic repository that collates 790 social networks from more than 45 species, including those of mammals, reptiles, fish, birds, and insects, into a consistent and easy-to-use network data format.
Journal ArticleDOI

Split between two worlds: automated sensing reveals links between above- and belowground social networks in a free-living mammal

TL;DR: A novel, automated-monitoring system is developed to study the effects of personality, life-history stage and sex on the social network structure of a facultatively social mammal, the California ground squirrel in two distinct contexts: aboveground where space is relatively open and belowground where it is relatively constrained by burrow architecture.
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

Mark Newman
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.
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