Exploring Animal Social Networks

by Croft, Darren P.; James, Richard; Krause, Jens

• ISBN13: 9780691127521
• ISBN10: 0691127522
• Edition: 1st
• Format: Paperback
• Copyright: 2008-07-01
• Publisher: Princeton Univ Pr

Summary

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 Networksprovides 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.

Author Biography

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.

Table of Contents

Preface	p. vii
Introduction to Social Networks	p. 1
Data Collection	p. 19
Visual Exploration	p. 42
Node-Based Measures	p. 64
Statistical Tests of Node-Based Measures	p. 88
Searching for Substructures	p. 117
Comparing Networks	p. 141
Conclusions	p. 163
Glossary of Frequently Used Terms	p. 173
References	p. 175
Index	p. 187
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