Social network analysis
著者
書誌事項
Social network analysis
SAGE, c2013
3rd ed
- : pbk
- タイトル別名
-
Social network analysis : a handbook
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注記
Former ed. title: Social network analysis : a handbook
First published 1991; Second ed. 2000
Includes bibliographical references (p. 185-198) and index
内容説明・目次
内容説明
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.
目次
List of Figures
About the Author
Preface to the Third Edition
Networks and Relations
Relations and Attributes
The Analysis of Network Data
Interpretation of Network Data
An Overview
The Development of Social Network Analysis
Sociometric Analysis and Graph Theory
Interpersonal Configurations and Cliques
Towards Formal Models of Structure
The Harvard Breakthrough
Entry of the Social Physicists
Analyzing Relational Data
Collecting Relational Data
Selection and Sampling of Relational Data
Preparation of Relational Data
Organizing Relational Data
Lines, Neighbourhoods and Densities
Sociograms and Graph Theory
Density: Egocentric and Sociocentric
A Digression on Absolute Density
Community Structure and Density
Centrality, Peripherality and Centralization
Centrality: Local and Global
Centralization and Graph Centres
Bank Centrality in Corporate Networks
Components, Cores and Cliques
Components, Cycles and Knots
The Contours of Components
Cliques and Their Intersections
Components and Citation Circles
Positions, Sets, and Clusters
The Structural Equivalence of Points
Clusters: Combining and Dividing Points
Block Modeling with CONCOR
Towards Regular Structural Equivalence
Corporate Interlocks and Participations
Network Dynamics and Change over Time
Modeling Change in Network Structure
Testing Explanations
Dimensions and Displays
Distance, Space and Metrics
Principal Components and Factors
Non-Metric Methods
Advances in Network Visualization
Elites, Communities and Influence
Notes
Bibliography
Index
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