Vertex attributes for forum_posts. Passed to dynet() through its nodes
argument, these become available to mixing().
Format
A data.frame with 20 rows and 3 columns:
- name
Character. Matches the sender and receiver names in forum_posts.
- role
Character.
"Student"(16),"Teacher"(3) or"Facilitator"(1).- achievement
Character.
"High","Middle"or"Low"for students;NAfor the four staff.
Source
Simulated, not observed. Generated deterministically under a fixed
seed by data-raw/make-data.R.
Examples
dn <- dynet(forum_posts, thread = "thread", nodes = forum_people)
mixing(dn, attribute = "role")
#> # Mixing by role (graph-level)
#> # 55 time points, 1 per bin | time in days
#> # measures: Facilitator -> Facilitator, Student -> Facilitator, Teacher -> Facilitator, Facilitator -> Student, Student -> Student, Teacher -> Student, Facilitator -> Teacher, Student -> Teacher, Teacher -> Teacher
#> # active binary-dyad counts between vertex groups per time bin
#> time measure value from_group to_group
#> 0 Facilitator -> Facilitator 0 Facilitator Facilitator
#> 0 Student -> Facilitator 0 Student Facilitator
#> 0 Teacher -> Facilitator 0 Teacher Facilitator
#> 0 Facilitator -> Student 0 Facilitator Student
#> 0 Student -> Student 2 Student Student
#> 0 Teacher -> Student 1 Teacher Student
#> 0 Facilitator -> Teacher 0 Facilitator Teacher
#> 0 Student -> Teacher 0 Student Teacher
#> 0 Teacher -> Teacher 0 Teacher Teacher
#> 1 Facilitator -> Facilitator 0 Facilitator Facilitator
#> 1 Student -> Facilitator 0 Student Facilitator
#> 1 Teacher -> Facilitator 0 Teacher Facilitator
#> # 483 more rows. summary() aggregates them; plot() draws them.