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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.

Usage

seminar_attendance

Format

A data.frame with 104 rows and 3 columns:

student

Character. Student identifier, s01 to s24.

seminar

Character. Which weekly seminar, week_01 to week_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.