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Social network analysis for e-learning interaction networks

Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 review), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The review frames social network analysis (SNA) as a methodological approach for describing and analysing network behaviours in e-learning. It notes SNA "has proven extremely powerful at describing and analysing network behaviours in business, economics and medicine, but its application to e-learning has been relatively limited." The review positions SNA as a way to understand and improve e-learning systems, operationalised through measures such as centrality and density applied to learner interaction networks, most often in forum-based one-mode networks.

Accounts

  • Social network analysis as an approach to understanding and improving e-learning systems: The review frames social network analysis (SNA) as a methodological approach for describing and analysing network behaviours in e-learning. It notes SNA "has proven extremely powerful at describing and analysing network behaviours in business, economics and medicine, but its application to e-learning has been relatively limited." The review positions SNA as a way to understand and improve e-learning systems, operationalised through measures such as centrality and density applied to learner interaction networks, most often in forum-based one-mode networks. (Cela et al. (2015))

Claims

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Key Sources

  • Cela, K.L., Sicilia, M.Á. & Sánchez, S. (2015). Social Network Analysis in E-Learning Environments: A Preliminary Systematic Review. Educational Psychology Review. https://doi.org/10.1007/s10648-014-9276-0
Page metadata
Field Value
type research-method
id social-network-analysis-for-e-learning-interaction-networks
title Social network analysis for e-learning interaction networks
description The review frames social network analysis (SNA) as a methodological approach for describing and analysing network behaviours in e-learning.
status review
generated by process:settle-candidates on 2026-10-22
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