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