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| Models | |
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| Introduction | |
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| Relationships Matter | |
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| Random Sampling Is Not Enough | |
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| Literature Overview | |
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| Major Research Advances | |
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| Individual- and Network-Level Measures | |
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| Summary | |
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| History | |
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| History Reconsidered | |
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| Behavioral Science | |
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| Life Span Approaches | |
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| Public Health and Medical Applications | |
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| Summary | |
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| Methods | |
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| Data Collection Techniques | |
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| Data Management | |
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| Data Characteristics | |
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| Network Variables | |
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| Summary | |
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| Ego- and Personal-Network Effects | |
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| Measures | |
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| Statistical Analysis | |
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| Personal Network versus Sociometric Variables | |
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| Snowball/Sequenced Data | |
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| Summary | |
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| Measures | |
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| Centrality | |
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| Degree | |
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| Closeness | |
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| Distances for Unconnected Nodes | |
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| Betweenness | |
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| Correlation among Centrality Measures | |
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| Other Centrality Measures | |
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| Link or Edge Centrality | |
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| Centrality versus Centralization | |
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| Centrality and Behavior | |
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| Characteristics of Opinion Leaders | |
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| Summary | |
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| Groups | |
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| Components and K-Cores | |
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| Girvan-Newman Technique | |
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| Groups and Behavior | |
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| Group Membership and Disease | |
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| Groups, Density, and Bridges | |
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| Summary | |
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| Positions | |
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| Network-Level Positions | |
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| CONCOR | |
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| Individual Positional Measures | |
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| Individual Measures as Positions | |
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| Positions and Behavior | |
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| Network Weights | |
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| Summary | |
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| Network-Level Measures | |
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| Size | |
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| Density | |
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| Mutuality/Reciprocity | |
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| Triads/Transitivity | |
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| Diameter/Average Path Length | |
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| Density and Cohesion | |
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| Clustering | |
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| Centralization | |
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| Core-Periphery | |
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| Two-Mode Data | |
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| Individual Network-Level Interactions | |
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| Summary | |
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| Applications | |
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| Exponential Random Graph Models, P* and Actor Oriented Models | |
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| Estimating the Link | |
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| Vectorizing the Matrix | |
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| Exponential Random Graph Models (ERGM) | |
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| Simulation | |
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| New Specifications | |
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| Obesity Example | |
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| Actor-Oriented Model | |
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| WINCART | |
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| Summary | |
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| Diffusion of Innovations | |
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| Homogeneous Mixing | |
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| Integration and Opinion Leadership | |
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| Structural Models | |
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| Dynamic Models | |
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| Empirical Estimates Using Diffusion Network Data | |
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| Infection and Susceptibility | |
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| Thresholds | |
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| Limitations to Diffusion Theory | |
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| Summary | |
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| Network Interventions | |
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| Opinion Leaders | |
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| Key Players | |
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| Groups | |
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| Identifying Leaders and Groups | |
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| Snowball Sampling or Network Recruitment | |
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| Rewiring Networks | |
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| Bridges and potential Bridges | |
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| Links versus Nodes | |
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| Networks and Attributes | |
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| Iatrogenic Effects | |
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| A Pharmaceutical Marketing Example | |
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| Summary | |
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| Summary | |
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| Agent-Based Modeling | |
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| Increasing the Threshold | |
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| Statistical Analysis | |
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| Network Scale | |
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| Future Research Questions | |
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| How to Get Started | |
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| Limitations | |
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| Conclusion | |
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| Glossary | |
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| Sample Sociometric Survey | |
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| Sample Egocentric Survey | |
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| Centrality Scores for Network in Figure 1-1 | |
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| Input Files (Network and Attribute) for the Network in Figure 1-1 | |
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| References | |
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| Author Index | |
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| Subject Index | |