Social Network Analysis - Tapa dura

From one of the most authoritative figures in Social Network Analysis (SNA), this book by John Scott presents another compelling reading on Social Network Studies. Audiences from diverse fields should find this book highly engaging and inspirational, covering SNA fundamentals and substantive applications in studies of a wide range of social phenomenon
Song Yang
University of Arkansas

The key terms of social network analysis are explained in each chapter - density, centrality, [and] components like cliques... Special attention is put on the graph theory, but the role of gestalt theory, field theory, sociometry, group dynamics, and other scientific areas [are] also explained... The book could be recommended to the new comers in social network analysis, as well as to the readers with more familiarity with social network analysis.
Stanislava Stoyanova
Methodspace Book Reviews

The book is an excellent resource that serves workers in SNA, whether a beginner or not, in this field, or in mathematical knowledge. It is an updated source and contains authentic resources.

(Nadia Idri)

The Third Edition of this best-selling text has been fully revised and updated to include coverage of the many developments on social network analysis (SNA) over the last decade. Written in a clear and accessible style, the book introduces these topics to newcomers and non-specialists and gives sufficient detail for more advanced users of social network analysis. Throughout the book, key ideas are discussed in relation to the principal software programs available for SNA.

The book provides a comprehensive overview of the field, outlining both its theoretical basis and its key techniques. Drawing from the core ideas of points, lines and paths, John Scott builds a framework of network analysis that covers such measures as density, centrality, clustering, centralisation, and spatialisation. He identifies the various types of clique, component, and circle into which networks are formed, and he outlines an approach to socially structured positions within networks. A completely new chapter in this edition discusses recent work on network dynamics and methods for studying change over time. A final chapter discusses approaches to network visualisation.

This is an excellent resource for researchers across the social sciences and for students of social theory and research methods.

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