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| List of Figures | |
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| About the Author | |
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| Preface to the Third Edition | |
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| Networks and Relations | |
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| Relations and attributes | |
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| Analysis of network data | |
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| Interpretation of network data | |
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| An overview | |
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| The Development of Social Network Analysis | |
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| Sociometric analysis and graph theory | |
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| Interpersonal configurations and cliques | |
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| Towards formal models of structure | |
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| The Harvard breakthrough | |
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| Entry of the social physicists | |
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| Analysing Relational Data | |
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| Collecting relational data | |
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| Selection and sampling of relational data | |
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| Preparation of relational data | |
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| Organizing relational data | |
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| Lines, Neighbourhoods and Densities | |
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| Sociograms and graph theory | |
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| Density: ego-centric and socio-centric | |
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| A digression on absolute density | |
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| Community structure and density | |
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| Centrality, Peripherality and Centralization | |
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| Centrality: local and global | |
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| Centralization and graph centres | |
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| Bank centrality in corporate networks | |
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| Components, Cores and Cliques | |
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| Components, cycles and knots | |
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| The contours of components | |
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| Cliques and their intersections | |
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| Components and citation circles | |
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| Positions, Sets and Clusters | |
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| The structural equivalence of points | |
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| Clusters: combining and dividing points | |
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| Block modelling with CONCOR | |
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| Towards regular structural equivalence | |
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| Corporate interlocks and participations | |
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| Network Dynamics and Change Over Time | |
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| Modelling change in network structure | |
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| Testing explanations | |
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| Dimensions and Displays | |
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| Distance, space and metrics | |
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| Principal components and factors | |
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| Non-metric methods | |
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| Advances in network visualization | |
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| Elites, communities and influence | |
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| Notes | |
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| Bibliography | |
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| Index | |