Brief Introduction
Learn how to conduct a social network analysis to better understand how people seek and share information in learning settings.Description
In this course, you will learn how relationships between people, artifacts, and ideas within learning settings can be analyzed and interpreted through social network analysis (SNA). You will learn how to prepare data and map these relationships to help you understand how people communicate and exchange information.
The course will review foundational concepts and applications of social network analysis in learning analytics. You will also learn how to use igraph and statnet R packages to manipulate, analyze, and visualize network data.
Knowledge
- You will learn to:
- apply the basics of social network analysis (SNA) at the network level (density, clustering, degree distribution, etc.); at the node level (degree, betweenness, closeness); at the sub-graph level (triads, communities);
- design a research study using relational data;
- conduct SNA of data collected in a learning setting;
- apply basic functions of igraph and statnet R packages to analyze data.
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