| | | Preface | | |
| 1 | | Overview | | 1 |
| 1.1 | | Aspects of Networks | | 2 |
| 1.2 | | Central Themes and Topics | | 7 |
| Part I | | Graph Theory and Social Networks | | |
| 2 | | Graphs | | 21 |
| 2.1 | | Basic Definitions | | 21 |
| 2.2 | | Paths and Connectivity | | 23 |
| 2.3 | | Distance and Breadth-First Search | | 29 |
| 2.4 | | Network Data Sets: An Overview | | 35 |
| 2.5 | | Exercises | | 39 |
| 3 | | Strong and Weak Ties | | 43 |
| 3.1 | | Triadic Closure | | 44 |
| 3.2 | | The Strength of Weak Ties | | 46 |
| 3.3 | | Tie Strength and Network Structure in Large-Scale Data | | 51 |
| 3.4 | | Tie Strength, Social Media, and Passive Engagement | | 54 |
| 3.5 | | Closure, Structural Holes, and Social Capital | | 58 |
| 3.6 | | Advanced Material: Betweenness Measures and Graph Partitioning | | 62 |
| 3.7 | | Exercises | | 74 |
| 4 | | Networks in Their Surrounding Contexts | | 77 |
| 4.1 | | Homophily | | 77 |
| 4.2 | | Mechanisms Underlying Homophily: Selection and Social Influence | | 81 |
| 4.3 | | Affiliation | | 83 |
| 4.4 | | Tracking Link Formation in Online Data | | 88 |
| 4.5 | | A Spatial Model of Segregation | | 96 |
| 4.6 | | Exercises | | 103 |
| 5 | | Positive and Negative Relationships | | 107 |
| | More... | | |