Multigraph outdegree centrality is the most robust participation indicator, with significant positive correlations in all courses, while weighted outdegree was negatively correlated in two courses¶
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Evidence · 1 study · associationalr2·q3·i3large
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2023: tool and model accuracy changes quickly
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q3 i3 Outdegree in the multigraph configuration was positively correlated with performance in all 12 courses (r = 0.57 to 0.78), whereas simplified configuration correlated with only six courses and weighted outdegree was negatively and significantly correlated in two courses. → Mohammed Saqr 2020
Evidence¶
Mohammed Saqr 2020¶
Mohammed Saqr, et al. (2020). Capturing the participation and social dimensions of computer-supported collaborative learning through social network analysis: which method and measures matter? International Journal of Computer-Supported Collaborative Learning 15:227–248. https://doi.org/10.1007/s11412-020-09322-6
q3 · i3 · associational · r2
Observational SNA analysis across the 12 PBL courses comparing multigraph, weighted and simplified outdegree. Multigraph outdegree was "consistently positively correlated with student performance in all courses"; simplified correlated with six courses only, and weighted outdegree was negatively and significantly correlated in two courses (C9 and C10).
"the correlation between outdegree centrality (calculated with the multigraph method) proved to be consistently positively correlated with student performance in all courses, with a higher correlation coefficient in 10 courses compared to other configurations; the coefficient ranged from r = 0.57, p < 0.01 to r = 0.78, p < 0.01."
Discussion¶
Related Claims¶
- In a correlation meta-analysis across 69 course offerings, diffusion-based centralities correlated with academic achievement with high combined coefficients and predictive intervals
- Multigraph closeness centrality is the most consistent of the three configurations for correlating closeness with performance, though less robust than degree and eigenvector centralities
- Betweenness centrality shows the least consistent correlation with performance, being largely insignificant or negative across configurations except in one course
- Multigraph indegree centrality is consistently and positively correlated with student performance across 12 PBL courses, with stronger correlations than other configurations in eight courses
- Courses with a low number of forum interactions show inconsistent participation-dimension results, while eigenvector centrality remains robust there.
- Post size is not a reliable tie weight for centrality measures; receiving interactions better indicates the value of a contribution. — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
multigraph-outdegree-most-robust-participation |
title |
Multigraph outdegree centrality is the most robust participation indicator, with significant positive correlations in all courses, while weighted outdegree was negatively correlated in two courses |
description |
Multigraph outdegree centrality is the most robust participation indicator, with significant positive correlations in all courses, while weighted outdegree was negatively correlated in two courses |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2020 |
recheck_by |
2023 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — mohammed-saqr-2020 |
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