Social Relationship and Content Analyses in an Online Class Community under Covid-19

Authors

  • Cindy Xindi Tong
  • Rosanna Yuen-Yan Chan
  • Choi Sen Ho

DOI:

https://doi.org/10.54097/jceim.v11i1.10478

Keywords:

Social network, Online interaction, Social network analysis, Latent Dirichlet allocation, Pearson correlation

Abstract

Clarifying the blog’s background and successfully grasping its main subject are essential components of any examination of the blogging community. There are numerous previous researches on how to evaluate blogs and comments to discover the connections and content in a social group. This work seeks to focus on blog comments based on students’ relationships and conduct in a class community and to complement prior research techniques by emphasizing the importance of blog community analysis under Covid-19. It also provides an evaluation of the participation and performance results. We mainly focus on analyzing comments as the interaction among students and discuss the similarity in some highly performance students. With the help of social network analysis for online course student behavior, some tendency related to student behavior in this group has been shown in the experiment results by bias analysis, Pearson correlation, and Latent Dirichlet allocation, which serve as the data processing tools in this experiment.

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Published

21-07-2023

Issue

Section

Articles

How to Cite

Tong, C. X., Chan, R. Y.-Y., & Ho, C. S. (2023). Social Relationship and Content Analyses in an Online Class Community under Covid-19. Journal of Computing and Electronic Information Management, 11(1), 64-70. https://doi.org/10.54097/jceim.v11i1.10478

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