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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

Accounting for space and uncertainty in real-time location system-derived contact networks.

TL;DR: Using the methods described herein and the associated R package, called contact, researchers can derive polygons from RTLS points and it is shown that these polygons are highly versatile for contact network creation and can be used to answer a wide variety of epidemiological, ethological, and sociological research questions.
Posted ContentDOI

Identifying the dynamic contact network of infectious disease spread

TL;DR: A new tool, INoDS (Identifying Networks of infectious Disease Spread), is developed that utilizes Bayesian inference to provide evidence towards the underlying contact network of an infectious disease spread, and it is shown that the tool accurately identifies the underlying Contact network even when the networks are partially sampled and information on disease spread is incomplete.
Posted ContentDOI

Assessing the reliability of an automated method for measuring dominance hierarchy in nonhuman primates

TL;DR: MALT can be used to assess the evolution of individual social status, as well as group-wide hierarchical stability longitudinally with minimal research labour, and facilitates a continuous assessment of dominance hierarchies, even during unpredictable environmental or challenging social events.
Journal ArticleDOI

New Dimensions for Animal Communication Networks:Space and Time.

TL;DR: In this article, the authors discuss the spatial and temporal consequences of signaling in networks and highlight the distinction between the physical location of the signaler and the spread of influence of its signals.
Dissertation

Importance of group dynamics on female mating behaviour in reindeer Rangifer tarandus

TL;DR: Investigating female mating behaviour in reindeer Rangifer tarandus using a combination of both field and GPS based data demonstrated an increase in group size at the beginning of the peak rut, resulting from an increase of group cohesiveness, and validated the self-organization theory on ungulate group dynamics.
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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