Which students attended which weekly seminar over one term. This is
two-mode data: students are not linked to each other directly, only to the
seminars they turned up to. dynet() projects it, connecting every pair of
students who shared a room in the week they shared it.
Format
A data.frame with 104 rows and 3 columns:
- student
Character. Student identifier,
s01tos24.- seminar
Character. Which weekly seminar,
week_01toweek_12.- date
Date. When the seminar was held, 2024-09-03 to 2024-11-19.
Source
Simulated, not observed. Generated deterministically under a fixed
seed by data-raw/make-data.R.
Examples
dynet(seminar_attendance, actor = "student", group = "seminar")
#> # Temporal network (copresence format, undirected) | a cograph netobject
#> # 24 vertices | 417 edge spells | 224 distinct pairs
#> # observed from 0 to 77 days, binned every 1
#>
#> from to start end duration weight group
#> s03 s10 0 0 0 1 week_01
#> s03 s12 0 0 0 1 week_01
#> s03 s21 0 0 0 1 week_01
#> s03 s22 0 0 0 1 week_01
#> s03 s23 0 0 0 1 week_01
#> s10 s12 0 0 0 1 week_01
#> # 411 more spells. summary() describes the network; plot() draws it.