scispace - formally typeset
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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Posted ContentDOI

Measuring social networks in primates: wearable sensors vs. direct observations

TL;DR: Sensors data yield moreover a reliable social network already over short timescales and can be used for long term campaigns, showing their important potential for detailed studies of the evolution of animal social groups.
Journal ArticleDOI

Combining epidemiological and ecological methods to quantify social effects on Escherichia coli transmission.

TL;DR: In this article, sociobehavioural variables alone were ultimately poor predictors of E. coli colonization in feedlot cattle, but can have significant effects on colonization hazard rates (p ≤ 0.05).
Posted ContentDOI

Rhythm of relationships in a social fish over the course of a full year in the wild

TL;DR: In this article , the authors explore the rhythms of social interactions in a social fish population at various time-scales over one full year in the wild by examining high-resolution snapshots of dynamic social network.

Classification of Animal Behaviors in Videos Based on Automatically

TL;DR: This work introduces a novel deep learning toolset which clusters segments into groups according to the similarity of kinematic body keypoints and then employs active learning approach which refines the clusters and classifies them into behavioral states.
Journal ArticleDOI

ProxLogs: Miniaturised proximity loggers for monitoring association behaviour in small animals

TL;DR: ProxLogs as discussed by the authors uses Bluetooth Low Energy (BLE) signals to register contacts between individuals in a small animal network, allowing for the integration of physiological and behavioural inference into social networks derived from their approach.
References
More filters
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.
Related Papers (5)