mooc_people: Participants in a MOOC discussion forum

In Dynet: Tidy Temporal Network Analysis

Participants in a MOOC discussion forum

Description

The participant table accompanying mooc_posts: every person who appears as a sender or a receiver there, with the self-reported experience level as the chapter's integer code and as the label it recodes the code into and uses as the mixing attribute.

Usage

mooc_people

Format

A data frame with 445 rows and 3 columns:

name

Character. Participant identifier, matching the sender and receiver columns of mooc_posts.

experience

Integer. Self-reported experience level: 1 expert, 2 student, 3 teacher.

expert_level

Character. The same level as Expert, Student or Teacher.

Source

As mooc_posts: Saqr (2024), \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-031-54464-4_17")}.

See Also

mooc_posts; vignette("ch17-temporal-networks").

Examples

participants <- dynet(mooc_posts, from = "sender", to = "receiver",
                      time = "timestamp", thread = "discussion",
                      nodes = mooc_people)
as.data.frame(participants, what = "nodes")

Dynet documentation built on Oct. 7, 2026, 5:08 p.m.