COMM 2105 — Social Networks
4 semester hoursUndergraduateLectureNUpath ADNUpath NDusually offered: fall, springtypical days: FBostonTraditional
Applies network science theories and methods to understand the connectivity and complexity in the world around us on different scales, ranging from small groups to whole societies. Applies network theories, data collection methods, and visual-analytic analyses to map, measure, understand, and influence a wide range of online and offline social phenomena, including friendships and romantic relationships, professional networks, social media, social influence and marketing, diffusion and viral media, recommender systems, and collective action. Offers students an opportunity to learn to use computational tools to gather and analyze network data, derive data-supported insights, and develop effective network interventions.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 27 | 30 | 90% | 3.0 |
| Spring 2024 | 2 | 34 | 38 | 89% | 2.0 |
| Fall 2024 | 1 | 30 | 30 | 100% | 0.0 |
| Spring 2025 | 1 | 26 | 30 | 87% | 4.0 |
| Fall 2025 | 1 | 30 | 30 | 100% | 0.0 |
| Spring 2026 | 1 | 20 | 30 | 67% | 10.0 |
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 46% · T 37% · W 18% · Th 46% · F 54%
Common patterns: MR (46% of sections), TF (37% of sections), WF (18% of sections) — in patterns, R means Thursday
Professors
Fall
- Alina Ionica Lungeanu (100% of students) · reviews
Spring
- Seoeun Yang (76% of students) · reviews
- Alina Ionica Lungeanu (24% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (COMM course descriptions) · Student reviews on RateMyHusky · All COMM courses · Plan it at numap.app