INSH 6304 — Modeling and Analyzing Social Networks
4 semester hoursGraduateLecturetypical days: MBostonTraditional
Offers a high-level introduction to the analytic methods and conceptual perspectives of a social network approach. Introduces the social network perspective and computational tools for social network analysis (R, RStudio, and Gephi). Identifies the mathematical properties of social networks, including centrality, clustering, transitivity, and structural equivalence. Introduces exponential random graph models and stochastic actor-oriented models. Using these tools, studies social and cultural phenomena across the social sciences and humanities.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 1 | 7 | 25 | 28% | 18.0 |
| Fall 2025 | 1 | 13 | 15 | 87% | 2.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 100% · T 0% · W 0% · Th 0% · F 0%
Common patterns: M (100% of sections) — in patterns, R means Thursday
Professors
Fall
- Cassandra McMillan (100% of students) · reviews
Spring
- Cassandra McMillan (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (INSH course descriptions) · Student reviews on RateMyHusky · All INSH courses · Plan it at numap.app