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Written by a sociologist, a graph theorist, and a statistician, this title provides social network analysts and students with a solid statistical foundation from which to analyze network data. Clearly demonstrates how graphtheoretic and statistical techniques can be employed to study some important parameters of global social networks. The authors uses real life villagelevel social networks to illustrate the practicalities, potentials, and constraints of social network analysis ('SNA'). They also offer relevant sampling and inferential aspects of the techniques while dealing with potentially large networks.Intended AudienceThis supplemental text is ideal for a variety of graduate and doctoral level courses in social network analysis in the social, behavioral, and health sciences
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