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Author Croft, D. P.; James, R..; Krause, J.
Title Comparing Networks Type Book Chapter
Year 2008 Publication Exploring Animal Social Networks Abbreviated Journal
Volume Issue Pages (down) 141-162
Keywords
Abstract Social network analysis is used widely in the social sciences to study interactions among people, groups, and organizations, yet until now there has been no book that shows behavioral biologists how to apply it to their work on animal populations. Exploring Animal Social Networks provides a practical guide for researchers, undergraduates, and graduate students in ecology, evolutionary biology, animal behavior, and zoology.

Existing methods for studying animal social structure focus either on one animal and its interactions or on the average properties of a whole population. This book enables researchers to probe animal social structure at all levels, from the individual to the population. No prior knowledge of network theory is assumed. The authors give a step-by-step introduction to the different procedures and offer ideas for designing studies, collecting data, and interpreting results. They examine some of today's most sophisticated statistical tools for social network analysis and show how they can be used to study social interactions in animals, including cetaceans, ungulates, primates, insects, and fish. Drawing from an array of techniques, the authors explore how network structures influence individual behavior and how this in turn influences, and is influenced by, behavior at the population level. Throughout, the authors use two software packages--UCINET and NETDRAW--to illustrate how these powerful analytical tools can be applied to different animal social organizations.

Darren P. Croft is lecturer in animal behavior at the University of Wales, Bangor. Richard James is senior lecturer in physics at the University of Bath. Jens Krause is professor of behavioral ecology at the University of Leeds.

Reviews:

“Exploring Animal Social Networks shows behavioral biologists how to apply social network theory to animal populations. In doing so, Croft, James, and Krause illustrate the connections between an animal's individual behaviors and how these, in turn, influence and are influenced by behavior at the population level. . . . Valuable for readers interested in using quantitative analyses to study animal social behaviors.”--Choice

“[T]his volume provides an engaging, accessible, and timely introduction to the use of network theory methods for examining the social behavior of animals.”--Noa Pinter-Wollman, Quarterly Review of Biology

“The book is a useful 'handbook' providing detailed, stepwise procedures sufficient to allow the reader to address a broad range of questions about social interactions. . . . The book includes numerous examples of the kind of research questions one might ask, and, thus, it allows the reader to find the analysis that best fits the data set to be analyzed. Thus, even readers with minimal prior knowledge of social network analysis will be able to apply this approach. And if further assistance is needed, the authors provide numerous references to specific procedures that have been used by others.”--Thomas R. Zentall, PsycCRITIQUES

Endorsements:

“An important and timely addition to the literature. This book should be readily accessible to researchers who are interested in animal social organization but who have little or no experience in conducting network analysis. The book is well-written in an engaging style and contains a good number of examples drawn from a range of taxonomic groups.”--Paul R. Moorcroft, Harvard University

More Endorsements

Table of Contents:

Preface vii

Chapter 1: Introduction to Social Networks 1

Chapter 2: Data Collection 19

Chapter 3: Visual Exploration 42

Chapter 4: Node-Based Measures 64

Chapter 5: Statistical Tests of Node-Based Measures 88

Chapter 6: Searching for Substructures 117

Chapter 7: Comparing Networks 141

Chapter 8: Conclusions 163

Glossary of Frequently Used Terms 173

References 175

Index 187

Subject Area:

* Biological Sciences
Address
Corporate Author Thesis
Publisher Princton University Press Place of Publication Princeton, NY Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Equine Behaviour @ team @ Serial 4955
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Author Gaunitz, C.; Fages, A.; Hanghøj, K.; Albrechtsen, A.; Khan, N.; Schubert, M.; Seguin-Orlando, A.; Owens, I.J.; Felkel, S.; Bignon-Lau, O.; de Barros Damgaard, P.; Mittnik, A.; Mohaseb, A.F.; Davoudi, H.; Alquraishi, S.; Alfarhan, A.H.; Al-Rasheid, K.A.S.; Crubézy, E.; Benecke, N.; Olsen, S.; Brown, D.; Anthony, D.; Massy, K.; Pitulko, V.; Kasparov, A.; Brem, G.; Hofreiter, M.; Mukhtarova, G.; Baimukhanov, N.; Lõugas, L.; Onar, V.; Stockhammer, P.W.; Krause, J.; Boldgiv, B.; Undrakhbold, S.; Erdenebaatar, D.; Lepetz, S.; Mashkour, M.; Ludwig, A.; Wallner, B.; Merz, V.; Merz, I.; Zaibert, V.; Willerslev, E.; Librado, P.; Outram, A.K.; Orlando, L.
Title Ancient genomes revisit the ancestry of domestic and Przewalski's horses Type Journal Article
Year 2018 Publication Science Abbreviated Journal
Volume 360 Issue 6384 Pages (down) 111-114
Keywords
Abstract The Eneolithic Botai culture of the Central Asian steppes provides the earliest archaeological evidence for horse husbandry, ~5,500 ya, but the exact nature of early horse domestication remains controversial. We generated 42 ancient horse genomes, including 20 from Botai. Compared to 46 published ancient and modern horse genomes, our data indicate that Przewalski's horses are the feral descendants of horses herded at Botai and not truly wild horses. All domestic horses dated from ~4,000 ya to present only show ~2.7% of Botai-related ancestry. This indicates that a massive genomic turnover underpins the expansion of the horse stock that gave rise to modern domesticates, which coincides with large-scale human population expansions during the Early Bronze Age.
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Notes Approved no
Call Number Admin @ knut @ Serial 6212
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Author James, R.; Bennett, P.G.; Krause, J.
Title Geometry for mutualistic and selfish herds: the limited domain of danger Type Journal Article
Year 2004 Publication Journal of Theoretical Biology Abbreviated Journal J. Theor. Biol.
Volume 228 Issue 1 Pages (down) 107-113
Keywords Aggregation; Selfish herd; Limited domains
Abstract We present a two-dimensional individual-based model of aggregation behaviour in animals by introducing the concept of a “limited domain of danger”, which represents either a limited detection range or a limited attack range of predators. The limited domain of danger provides a suitable framework for the analysis of individual movement rules under real-life conditions because it takes into account the predator's prey detection and capture abilities. For the first time, a single geometrical construct can be used to analyse the predation risk of both peripheral and central individuals in a group. Furthermore, our model provides a conceptual framework that can be equally applied to aggregation behaviour and refuge use and thus presents a conceptual advance on current theory that treats these antipredator behaviours separately. An analysis of individual movement rules using limited domains of danger showed that the time minimization strategy outcompetes the nearest neighbour strategy proposed by Hamilton's (J. Theor. Biol. 31 (1971) 295) selfish herd model, whereas a random strategy confers no benefit and can even be disadvantageous. The superior performance of the time minimization strategy highlights the importance of taking biological constraints, such as an animal's orientation relative to its neighbours, into account when searching for efficient movement rules underlying the aggregation process.
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Call Number refbase @ user @ Serial 552
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Author Guttridge, T.L.; Dijk, S.; Stamhuis, E.J.; Krause, J.; Gruber, S.H.; Brown, C.
Title Social learning in juvenile lemon sharks, Negaprion brevirostris Type Journal Article
Year 2013 Publication Abbreviated Journal Animal Cognition
Volume 16 Issue 1 Pages (down) 55-64
Keywords Local and stimulus enhancement; Group living; Social facilitation; Social information use; Elasmobranchs
Abstract Social learning is taxonomically widespread and can provide distinct behavioural advantages, such as in finding food or avoiding predators more efficiently. Although extensively studied in bony fishes, no such empirical evidence exists for cartilaginous fishes. Our aim in this study was to experimentally investigate the social learning capabilities of juvenile lemon sharks, Negaprion brevirostris. We designed a novel food task, where sharks were required to enter a start zone and subsequently make physical contact with a target in order to receive a food reward. Naive sharks were then able to interact with and observe (a) pre-trained sharks, that is, ‘demonstrators’, or (b) sharks with no previous experience, that is, ‘sham demonstrators’. On completion, observer sharks were then isolated and tested individually in a similar task. During the exposure phase observers paired with ‘demonstrator’ sharks performed a greater number of task-related behaviours and made significantly more transitions from the start zone to the target, than observers paired with ‘sham demonstrators’. When tested in isolation, observers previously paired with ‘demonstrator’ sharks completed a greater number of trials and made contact with the target significantly more often than observers previously paired with ‘sham demonstrators’. Such experience also tended to result in faster overall task performance. These results indicate that juvenile lemon sharks, like numerous other animals, are capable of using socially derived information to learn about novel features in their environment. The results likely have important implications for behavioural processes, ecotourism and fisheries.
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Publisher Springer-Verlag Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1435-9448 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Equine Behaviour @ team @ Serial 5697
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Author Krause, J.; Croft, D.; James, R.
Title Social network theory in the behavioural sciences: potential applications Type Journal Article
Year 2007 Publication Behavioral Ecology and Sociobiology Abbreviated Journal Behav. Ecol. Sociobiol.
Volume 62 Issue 1 Pages (down) 15-27
Keywords Social networks – Social organisation – Mate choice – Disease transmission – Information transfer – Cooperation
Abstract Abstract  Social network theory has made major contributions to our understanding of human social organisation but has found relatively little application in the field of animal behaviour. In this review, we identify several broad research areas where the networks approach could greatly enhance our understanding of social patterns and processes in animals. The network theory provides a quantitative framework that can be used to characterise social structure both at the level of the individual and the population. These novel quantitative variables may provide a new tool in addressing key questions in behavioural ecology particularly in relation to the evolution of social organisation and the impact of social structure on evolutionary processes. For example, network measures could be used to compare social networks of different species or populations making full use of the comparative approach. However, the networks approach can in principle go beyond identifying structural patterns and also can help with the understanding of processes within animal populations such as disease transmission and information transfer. Finally, understanding the pattern of interactions in the network (i.e. who is connected to whom) can also shed some light on the evolution of behavioural strategies.
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Call Number Equine Behaviour @ team @ Serial 5171
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Author Couzin, I.D.; Krause, J.
Title Self-Organization and Collective Behavior in Vertebrates Type Book Chapter
Year 2003 Publication Advances in the Study of Behavior Abbreviated Journal
Volume 32 Issue Pages (down) 1-75
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Abstract
Address
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Publisher Academic Press Place of Publication Editor Peter J. B. Slater, J.S.R., Charles T. Snowdon and Timothy J. Roper
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 0065-3454 Medium
Area Expedition Conference
Notes Approved no
Call Number Equine Behaviour @ team @ Serial 5144
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Author Couzin, I.D.; Krause, J.; James, R.; Ruxton, G.D.; Franks, N.R.
Title Collective Memory and Spatial Sorting in Animal Groups Type Journal Article
Year 2002 Publication Journal of Theoretical Biology Abbreviated Journal J. Theor. Biol.
Volume 218 Issue 1 Pages (down) 1-11
Keywords
Abstract We present a self-organizing model of group formation in three-dimensional space, and use it to investigate the spatial dynamics of animal groups such as fish schools and bird flocks. We reveal the existence of major group-level behavioural transitions related to minor changes in individual-level interactions. Further, we present the first evidence for collective memory in such animal groups (where the previous history of group structure influences the collective behaviour exhibited as individual interactions change) during the transition of a group from one type of collective behaviour to another. The model is then used to show how differences among individuals influence group structure, and how individuals employing simple, local rules of thumb, can accurately change their spatial position within a group (e.g. to move to the centre, the front, or the periphery) in the absence of information on their current position within the group as a whole. These results are considered in the context of the evolution and ecological importance of animal groups.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0022-5193 ISBN Medium
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Notes Approved no
Call Number Equine Behaviour @ team @ Serial 5310
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Author Croft, D. P.; James, R..; Krause, J. (eds)
Title Exploring Animal Social Networks Type Book Whole
Year 2008 Publication Abbreviated Journal
Volume Issue Pages (down)
Keywords
Abstract
Address
Corporate Author Thesis
Publisher Princton University Press Place of Publication Princton Editor Croft, D. P.; James, R..; Krause, J.
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 9780691127521 Medium
Area Expedition Conference
Notes Approved no
Call Number Equine Behaviour @ team @ Serial 5139
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Author Krause, J.; James, R.; Franks, D.W.; Croft, D. P.
Title Animal Social Networks. Type Book Whole
Year 2015 Publication Abbreviated Journal
Volume Issue Pages (down)
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Corporate Author Thesis
Publisher Oxford University Press Place of Publication Oxford Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Equine Behaviour @ team @ Serial 5883
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