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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

What makes fish vulnerable to capture by hooks? A conceptual framework and a review of key determinants

TL;DR: In this paper, the authors developed a new conceptual framework of "vulnerability" and summarized the major drivers of fish vulnerability, and concluded that fish vulnerability involves complex processes, such as an individual fish's internal state, its encounter with the gear, and the characteristics of the encountered gear.
Journal ArticleDOI

Deep learning-based methods for individual recognition in small birds

TL;DR: In this article, the authors describe procedures for automating the collection of training data, generating training datasets, and training CNNs to allow identification of individual birds, including sociable weaver Philetairus socius, the great tit Parus major and the zebra finch Taeniopygia guttata.
Journal ArticleDOI

Inferring social structure from temporal data

TL;DR: It is demonstrated how the choice of the extraction method and the temporal resolution parameter influence the appearance and properties of the retrieved network and suggested a modus operandi that minimises observer bias due to arbitrary parameter choice.
Journal ArticleDOI

How demographic processes shape animal social networks

TL;DR: How the structure of animal social networks is shaped by the joint effects of social behavior and turnover of individuals is summarized and how a deeper understanding of these processes can open new, exciting avenues for research is suggested.
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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