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Cover -- Half Title -- Title -- Copyright -- Contents -- Introduction -- I. Network Representations -- Chapter 1. Social Networks and the Structure Experiment -- Chapter 2. A Formal Unification of Anthropological Kinship and Social Network Methods -- II. Network Boundaries -- Chapter 3. The Boundary Specification Problem in Network Analysis -- III. The Structure of Relations -- Chapter 4. Inferring Meaningful Global Network Properties from Individual Actor's Measurement Scales -- Chapter 5. Stochastic Modeling and the Analysis of Structural Data -- Chapter 6. Relational Contents in Multiple Network Systems -- Chapter 7. Social Semigroups and Green Relations -- IV. Implications of Relational Structure -- Chapter 8. What Is a Homomorphism? -- Chapter 9. Models of Network Effects on Social Actors -- V. Clustering and Positioning of Actors -- Chapter 10. Algorithms and Network Analysis: A Test of Some Analytical Procedures on Kapferer's Tailor Shop Material -- Chapter 11. Conceptions of Overlap in Social Structure -- Chapter 12. Empirical Blocking Methods -- Chapter 13. Rethinking the Role Concept: Homomorphisms on Social Networks -- Chapter 14. Methods for the Characterization of Role Structures in Network Analysis

1. Introduction -- 2. Paradigm war and the roots of social networks -- 3. The constitutive bricks of qualitative networks : actors, relations, networks -- 4. Talking ties : micro processes of local structures in friendship networks -- 5. Ethnography of overlapping networks : resource exchange in street groups -- 6. Scientific communities : describing social worlds in research collaborations -- 7. Coda

2.1 A Brief History of Personal Network AnalysisThe Manchester School of Anthropology; Box -- The Bott Hypothesis about Conjugal Roles and Social Networks; Box -- Clyde Mitchell and the Manchester School; U.S. Sociology Takes the Baton; Box -- The Small World Experiment; Box -- The East York Studies; Personal Relationships across the Life Course; 2.2 What We Currently Know about Personal Networks; 2.3 Theoretical Frameworks for Effects of Personal Networks on Individual Outcomes; Social Capital; Social Support; Social Influence through Diffusion; 2.4 Final Remarks; Chapter Summary

Are you struggling to design your social network research? Are you looking for a book that covers more than social network analysis? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research. Open the book and you'll find practical, 'how to' advice and worked examples relevant to PhD students and researchers from across the social and behavioural sciences. The book covers: Fundamental network concepts and theories; Research questions and study design; Social systems and data structures; Network observation and measurement; Methods for data collection; Ethical issues for social network research; Network visualization; Methods for social network analysis; Drawing conclusions from social network results. This is a perfect guide for all students and researchers looking to do empirical social network research.

The book is divided into 4 parts Foundations of social research deals with universal and basic units of social research like scientific approach, meaning, process and development of scientific research problem. It also deals with defining and measurement of variables and testing of reliability and validity of measuring instruments. Research Methods section deals with the three major research methods used in extension education/ Agricultural extension, namely Survey research, Action research and case study..

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

This book is a definitive, comprehensive understanding to social science research methodology. It covers both qualitative and quantitative approaches. The book covers the entire research process, beginning with the conception of the research problem to publication of findings. The text combines theory and practical application to familiarize the reader with the logic of research design, the logic and techniques of data analysis, and the fundamentals and implications of various data collection techniques. Organized in seven sections and easy to read chapters, the text emphasizes the importance of clearly defined research questions and well-constructed practical explanations and illustrations. A key contribution to the methodology literature, the book is an authoritative resource for policymakers, practitioners, graduate and advanced research students, and educators in all social science disciplines.