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Ethnobiologists debate whether folk biological classifiers are natural historians attending primarily to the morphology of organisms or are pragmatists concerned primarily with utility. We argue that this question is best understood as a problem in intracultural variation: the relative importance of form and function depends on who is asked to judge the similarity of organisms as well as how they are asked to judge it. We find that expert fishermen judge similarities among fish on both functional and morphological criteria, while novices judge on morphological criteria alone and thereby approach the scientific classification of fish more closely than experts. Experts also vary more than do novices, presumably because they control more different kinds of knowledge on which to base a similarity judgment.

Written by a stellar team of experts, Analyzing Social Networks is a practical book on how to collect, visualize, analyze and interpret social network data with a particular emphasis on the use of the software tools UCINET and Netdraw. The book includes a clear and detailed introduction to the fundamental concepts of network analyses, including centrality, subgroups, equivalence and network structure, as well as cross-cutting chapters that helpfully show how to apply network concepts to different kinds of networks. Written using simple language and notation with few equations, this book masterfully covers the research process, including: * The initial design stage * Data collection and manipulation * Measuring key variables * . Exploration of structure * Hypothesis testing * Interpretation This is an essential resource for students, researchers and practitioners across the social sciences who want to use network analysis as part of their research.