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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

Everybody has a social life. Can social network analysis help us understand why not just how? Comment on Pinter-Wollman et al.

TL;DR: It is needed to get beyond the descriptive and use SNA to answer functional questions about sociality and to test relevant ecological and evolutionary hypotheses, which is the central premise of the review by Pinter-Wollman et al. (2013).
Journal ArticleDOI

Defining an epidemiological landscape that connects movement ecology to pathogen transmission and pace-of-life.

TL;DR: In this paper , the authors introduce a "movementpathogen pace of life" heuristic to identify aspects of movement that have the most influence on spatial epidemiology, and link pathogen transmission directly to the environment, offering an efficient path for using environmental information to inform models describing when and where transmission will occur.
Posted ContentDOI

A guide to using GPS-based tracking to study animal societies

TL;DR: In this article , the authors integrate previous insights from animal social network analysis with simulated and empirical data to provide quantitative recommendations when designing GPS-based tracking studies of animal societies, and highlight the importance of identifying the optimal deployment decisions for drawing informative and robust conclusions.
Journal ArticleDOI

Assessing the reliability of an automated method for measuring dominance hierarchy in non-human primates.

TL;DR: In this paper, the authors used machines for automated learning and testing (MALT) to measure the dominance hierarchy of a semi-free-ranging primate group and found that dominance relationships inferred from these interactions strongly correlated with the ones derived from observations of spontaneous agonistic interactions collected during the same time period.
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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