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Exploring Animal Social Networks
Richard James, Jens Krause, Darren P. Croft, et al.
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Naturwissenschaften, Medizin, Informatik, Technik / Zoologie
Beschreibung
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.
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Parasite load, Captivity (animal), Randomization, Complex network, Community structure, User interface, Calculation, Biological network, Inference, Correspondence analysis, Sampling error, Mantel test, Network model, Sample Size, Dendrogram, Data set, Behavioral ecology, Modularity (networks), Social group, Social relation, Embedding, Social network, Food web, Combinatorial optimization, Pheromone, The Evolution of Cooperation, Mating system, Disease, Degree distribution, Case study, Toy model, Social science, Probability, Test statistic, Social structure, Artificial neural network, Decision-making, Behavioural sciences, Statistical hypothesis testing, Power law, Network theory, Sexual selection, Centrality, Sociality, Betweenness, Predation, Ecology, Sampling bias, Result, Foraging, Sampling (statistics), Evolution, Cluster analysis, Network motif, Matrix population models, Logistic regression, Social network analysis, Biology, Ethology, Social organization, Null model, Social environment, Social behavior, Sociogram, Sociobiology, Assortative mixing, Data collection, Small-world experiment, Statistic, P-value