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A[SOCIOL 208A: Methods] -->|Methodological Toolkit| C(Original Research)
B[SOCIOL 208B: Theory] -->|Theoretical Foundations| C
Department of Sociology, UCLA
Welcome to the course repository for the Graduate Computational Social Networks Sequence (SOCIOL 208A & 208B) at UCLA. This website hosts all syllabi, reading schedules, interactive lecture notes, R code snippets, and instructional materials.
Social Networks Methods
Fall Quarter
A graduate-level seminar focused on the data-analytic and computational techniques used in Social Network Analysis (SNA). This course covers the practical application of network theory using R and igraph.
Key Topics Covered: * Centrality, status, and prestige measures * Cohesion, equivalence, and similarity * Community detection and subgroups * Two-mode (bipartite) networks * Statistical models (ERGM, QAP, Swapping)
Social Networks Theory
Spring Quarter
A substantive graduate seminar exploring the theories, perspectives, and empirical research in sociology through a social networks lens. The focus is on substantive contributions and conceptual frameworks.
Key Topics Covered: * Relational sociology & network thinking * Weak ties, homophily, and brokerage * Collaboration networks & field dynamics * Network diffusion and contagion * Historical social networks & inequality
The sequence is designed to equip students with both the theoretical foundations and the methodological toolkit required to conduct original, publication-quality research using network analytic approaches:
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A[SOCIOL 208A: Methods] -->|Methodological Toolkit| C(Original Research)
B[SOCIOL 208B: Theory] -->|Theoretical Foundations| C
To get started, select a course syllabus from the cards above or browse the lecture topics directly using the sidebar navigation.