A synthetic temporal network of how one interaction code follows another in asynchronous discussion. Vertices are the ten codes a message can carry, so a vertex is a category, never a person, and a tie runs from the code of a message to the code of the message it replies to.
Format
A data.frame with 101 rows and 5 columns:
- from
Character. Code of the replying message.
- to
Character. Code of the message replied to.
- start
Numeric. When the spell opens, 0 to 2.10.
- end
Numeric. When it closes, 0.03 to 5.80.
- weight
Numeric, whole-valued. Message pairs the spell represents, 1 to 5881.
The ten codes are Acceptance, Argument, Composing, Disagreement,
Evaluation, Group_regulation, Question, Sharing, Socioemotional
and T.Regulation; 14 rows are self-loops.
Source
Synthesised from the Trees of Thought code-transition network by
the resampling described above; see data-raw/synthdata.R.
Details
This is a stand-in for the network analysed in the Trees of Thought study, whose own data is not redistributable. It was built by drawing a random 70% subset of that study's edge spells and resampling that subset with replacement to 90% of the original spell count, so it omits about a third of the real spells and repeats others. No row of it should be read as a finding about the study, and figures computed from it will not match the published ones. It exists so the analysis can be run and taught end to end.
Spells are weighted by how many message pairs they represent, overlap in
time, and include self-loops, because a code following itself is a real and
common transition. Build with loops = TRUE to keep them; the weight
column is picked up as the tie weight.
Examples
dynet(synthdata, directed = TRUE, loops = TRUE, weight = "weight")
#> Keeping 14 self-loop event(s); each adds two to its vertex's degree.
#> # Temporal network (interval format, directed) | a cograph netobject
#> # 10 vertices | 101 edge spells | 48 distinct pairs
#> # observed from 0 to 5.800729 step, binned every 1
#>
#> from to start end duration weight
#> Composing Evaluation 0 3.078993 3.078993 10
#> Socioemotional Group_regulation 0 3.182975 3.182975 57
#> Socioemotional Group_regulation 0 3.182975 3.182975 57
#> Socioemotional Group_regulation 0 3.182975 3.182975 57
#> Question Question 0 3.452118 3.452118 126
#> Question Question 0 3.452118 3.452118 126
#> # 95 more spells. summary() describes the network; plot() draws it.