By Hal Whitehead
While you are within the box of ethology or behavioral ecology, or the rest learning animal habit, this publication provides every little thing you must find out about social analyses. Hal Whitehead lays out exact yet comprehensible guide on every thing from information assortment to software program courses. i admire it.
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Extra info for Analyzing Animal Societies: Quantitative Methods for Vertebrate Social Analysis
How can we distinguish real features of animal social structures from methodological artifacts of the data? And then there are more general issues. How can rare but vital events such as weaning and mating be incorporated into social analysis? How may social structures of different populations or species be compared? In this book I try to provide guidance on these issues. 1) that can be useful in several areas of social analysis. More-specific methods are presented later in relevant sections. I begin the chapter with a more general and fundamental discussion of the ways in which we do science and end it with a summary of computer packages that can assist with social analysis.
And presented when using K-means. Network analysts have come up with a number of methods of nonhierarchical clustering of individuals whose relationships are described by a similarity matrix (often just binary matrices consisting of 1s and 0s). 7). For the social analyst, the network techniques have the advantages over K-means in that they work from similarity matrices rather than data matrices, suggest the optimal number of clusters (or the possibility that it is optimal not to divide the data), and provide a measure of the effectiveness of the division, modularity.
Sometimes we must be careful in translating this result into biologically meaningful terms—the hypothesis usually only refers to the data collected, and this method cannot be used as it stands to test absolute values of parameters of populations against a null value (Manly 1997, p. 17). Thus, in the case of differences in group size with sex, we might proceed by taking all records of group membership and calculating the difference between the mean size of the groups only containing males and those only containing females.