By Suraj Bandyopadhyay,A R. Rao,Bikas K. Sinha
Written through a sociologist, a graph theorist, and a statistician, this name offers social community analysts and scholars with an outstanding statistical beginning from which to investigate community info. sincerely demonstrates how graph-theoretic and statistical options may be hired to check a few very important parameters of world social networks. The authors makes use of actual existence village-level social networks to demonstrate the practicalities, potentials, and constraints of social community research ("SNA"). additionally they provide appropriate sampling and inferential points of the strategies whereas facing probably huge networks.
This supplemental textual content is perfect for numerous graduate and doctoral point classes in social community research within the social, behavioral, and health and wellbeing sciences
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Extra resources for Models for Social Networks With Statistical Applications (Advanced Quantitative Techniques in the Social Sciences series)
Models for Social Networks With Statistical Applications (Advanced Quantitative Techniques in the Social Sciences series) by Suraj Bandyopadhyay,A R. Rao,Bikas K. Sinha