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 graph-theoretic and statistical techniques can be employed to study some important parameters of global social networks. The authors uses real life village-level 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…mehr
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 graph-theoretic and statistical techniques can be employed to study some important parameters of global social networks. The authors uses real life village-level 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 Audience This supplemental text is ideal for a variety of graduate and doctoral level courses in social network analysis in the social, behavioral, and health sciencesHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Suraj Bandyopadhyay (Ph.D., Sociology, McGill University, Montreal, Canada) was, before his retirement, Professor of Sociology and Head, Sociological Research Unit, Indian Statistical Institute, Kolkata. He is currently attached to Sociological Research Unit and Statistics-Mathematics Unit, Indian Statistical Institute, Kolkata, as an Honorary Visiting Scientist. For his academic performance in McGill University he was awarded Bobbs-Merrill Award in Sociology in 1968. He had received a number of academic invitations and Fellowships from different international institutions like Canadian International Development Agency (CIDA, Ottawa), Centre for Developing-Area Studies (McGill University), International Data Library and Reference Service of the Survey Research Centre at University of California (Berkeley, U.S.A.), Overseas Development Group at University of East Anglia (Norwich, UK), etc. He has served as expert member in academic committees of different institutions and published more than thirty research papers.
Inhaltsangabe
PREFACE 1. Introduction to Social Network Analysis 2. Introduction to Digraphs 3. Graph-Theoretic and Statistical Models 4. Validation of Statistical Models 5. Graph-theoretic and Statistical Measures and Methods 6. Graph-theoretic Case Studies 7. Sampling and Inference in a Social Network
PREFACE 1. Introduction to Social Network Analysis 2. Introduction to Digraphs 3. Graph-Theoretic and Statistical Models 4. Validation of Statistical Models 5. Graph-theoretic and Statistical Measures and Methods 6. Graph-theoretic Case Studies 7. Sampling and Inference in a Social Network
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