Recent recorded grades — Spring 2019: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2025: 3.83 GPA, 83.3% A/AB (n=6 letter grades).
Social Network Analysis and Health
Overview of social network analysis applied to health, covering data collection, network measure calculation, and statistical modeling of health behavior outcomes.
Summary
Recent recorded grades — Spring 2019: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2025: 3.83 GPA, 83.3% A/AB (n=6 letter grades).
What you’ll be able to do
Formulate research questions relevant to social network analysis.
Describe the sources, advantages, and disadvantages of alternative types of social network data.
Describe a social network and compare attributes across different social networks.
Describe theoretical and empirical issues in current research on social network analysis and health.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Spring 2027Historical instructors & teaching patterns
MARLON MUNDT is recorded teaching in Spring 2018, Spring 2019, Spring 2022, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 15 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Recent recorded grades — Spring 2019: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2025: 3.83 GPA, 83.3% A/AB (n=6 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Health outcomes including substance use, smoking, contraception, AIDS, and obesity
- Social networks of health organizations and patient care impact
- Interdisciplinary perspectives from sociology, economics, computer science, medicine, and health services
Skills
- Collection and processing of social network data
- Calculation of network measures
- Statistical modeling of network effects on health behaviors
- Formulating research questions for social network analysis
Grades
Latest available · Spring 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Social Network Analysis and Health
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:810:024952",
"course_id": "POPHLTH 819",
"course_uid": "course_071b0f32272386270f7cd1bb",
"term_id": "1274",
"source_course_id": "024952",
"source_subject_id": "810",
"title": "Social Network Analysis and Health",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Spring"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "b44cadcfec808e867f05d65f583250e5eb07aa7a917eb82310976fe6786df30f",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}