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.…mehr
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.
John Scott is an Honorary Professor at the Universities of Essex, Exeter, and Copenhagen. He was formerly a professor of sociology at the Universities of Essex and Leicester, and pro-vice-chancellor for research at the University of Plymouth. He has been president of the British Sociological Association, Chair of the Sociology Section of the British Academy, and in 2013 was awarded the CBE for Services to Social Science. His work covers theoretical sociology, the history of sociology, elites and social stratification, and social network analysis. His most recent books include British Social Theory: Recovering Lost Traditions before 1950 (SAGE, 2018), Envisioning Sociology. Victor Branford, Patrick Geddes, and the Quest for Social Reconstruction (with Ray Bromley, SUNY Press, 2013), Objectivity and Subjectivity in Social Research (with Gayle Letherby and Malcolm Williams, SAGE, 2011).
Inhaltsangabe
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
What is Social Network Analysis? The data used in social network analysis Is there a network theory? An overview The History of Social Network Analysis The sociogram and sociometry Balance and group dynamics Informal organization and community relations Matrices and cliques Formal models of community and kinship Formal methods triumphant Getting by without the help of your friends Entry of the social physicists Data Collection for Social Network Analysis Asking questions Making observations Using documents Boundaries in relational data Positional and reputational approaches Does sampling make sense? Organizing and Analyzing Network Data Matrices and relational data Matrix conventions An analysis of directorship data Direction and value in relational data Computer programs for social network analysis Terminology for Network Analysis The language of network analysis More than joining up the lines The flow of information and resources Density of connections Density in egonets Problems in density measures A digression on absolute density Community structure and density Popularity, Mediation and Exclusion Local and overall Mediation and betweenness Centrality boosts centrality Centralization and graph centres The absolute centre of a graph Bank centrality in corporate networks Groups, Factions and Social Divisions Identifying subgraphs The components of a network The strength and stability of components Cycles and circuits The contours of components Cliques within components Intersecting social circles Components and citation circles Structural Locations, Classes and Positions The structural equivalence of points Clusters and similarities Divide and CONCOR Divisions and equivalence Regular equivalence in roles and functions Corporate interlocks and participations Social Change and Development Structural change and unintended consequences Small-world networks Modelling social change Testing explanations Visualizing and Modelling Taking space seriously Using multidimensional scaling Principal components and factors Non-metric methods How many dimensions? Worth a thousand words? Elites, communities and influence Business elites and bank power Notes Bibliography Index
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
What is Social Network Analysis? The data used in social network analysis Is there a network theory? An overview The History of Social Network Analysis The sociogram and sociometry Balance and group dynamics Informal organization and community relations Matrices and cliques Formal models of community and kinship Formal methods triumphant Getting by without the help of your friends Entry of the social physicists Data Collection for Social Network Analysis Asking questions Making observations Using documents Boundaries in relational data Positional and reputational approaches Does sampling make sense? Organizing and Analyzing Network Data Matrices and relational data Matrix conventions An analysis of directorship data Direction and value in relational data Computer programs for social network analysis Terminology for Network Analysis The language of network analysis More than joining up the lines The flow of information and resources Density of connections Density in egonets Problems in density measures A digression on absolute density Community structure and density Popularity, Mediation and Exclusion Local and overall Mediation and betweenness Centrality boosts centrality Centralization and graph centres The absolute centre of a graph Bank centrality in corporate networks Groups, Factions and Social Divisions Identifying subgraphs The components of a network The strength and stability of components Cycles and circuits The contours of components Cliques within components Intersecting social circles Components and citation circles Structural Locations, Classes and Positions The structural equivalence of points Clusters and similarities Divide and CONCOR Divisions and equivalence Regular equivalence in roles and functions Corporate interlocks and participations Social Change and Development Structural change and unintended consequences Small-world networks Modelling social change Testing explanations Visualizing and Modelling Taking space seriously Using multidimensional scaling Principal components and factors Non-metric methods How many dimensions? Worth a thousand words? Elites, communities and influence Business elites and bank power Notes Bibliography Index
Rezensionen
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.
'One of my go-to books for Social Network Analysis.' Barry Wellman
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