mooc_posts: Posts in a MOOC discussion forum

In Dynet: Tidy Temporal Network Analysis

Posts in a MOOC discussion forum

Description

The discussion log of chapter 17 of Learning Analytics Methods and Tutorials (Saqr, 2024), one row per post in the Digital Learning Transition MOOC, April to June 2013. A post names the participant who wrote it and the participant it answers, so a tie runs from sender to receiver; discussion is the thread the post belongs to, which is what makes the log threaded in the sense dynet() means by ⁠thread =⁠.

Usage

mooc_posts

Format

A data frame with 2529 rows and 4 columns:

sender

Character. The participant who wrote the post.

receiver

Character. The participant the post answers.

timestamp

POSIXct (UTC). When the post was made, from 2013-04-04 16:32 to 2013-06-16 17:12.

discussion

Character. Thread title; 338 distinct threads.

Details

Only the four columns the chapter's analysis reads are kept; the category hierarchy and comment identifiers of the published file are dropped.

Source

Saqr, M. (2024). Temporal network analysis: Introduction, methods and analysis with R. In M. Saqr & S. López-Pernas (Eds.), Learning Analytics Methods and Tutorials. Springer. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-031-54464-4_17")}. Data from https://github.com/lamethods/data, directory ⁠6_snaMOOC⁠, prepared by data-raw/mooc_forum.R.

See Also

mooc_people for the participants, and vignette("ch17-temporal-networks") for the chapter's analysis.

Examples

dn <- dynet(mooc_posts, from = "sender", to = "receiver",
            time = "timestamp", thread = "discussion")
dn

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