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Introduction to Social Network Analysis Tools HEDC

About This Course

Social Network analysis is a research tool that examines relationships between or among people, objects or social entities. It is used widely to examine education data as well as in other social data, and to summarise structure and properties of interactions in. The use of social network analysis requires an understanding of graph theoretic paradigms, concepts and analytic tools beyond those provided by standard quantitative (particularly, statistical) methods. This module will provide a broad overview of core concepts and tools used for social network data analysis within learning environments.

Topics

  • Introduction SNA
  • Overview of graph theory
  • Types of graphs (directed graphs, causal graphs, etc.)
  • Analysing structural and locational properties of actors
  • SNA measures (centrality, prestige, in-between, prominence, betweenness, closeness, eigenvector centrality (+ PageRank), cliques, etc.)
  • Overview of local analyses, including dyadic and triadic analyses
  • Overview of SNA tools and common software packages
  • UCINET, Pajek, NetDraw, and STOCNET.
  • Course Staff

    Course Staff Image #1

    Staff Member #1

    Biography of instructor/staff member #1

    Course Staff Image #2

    Staff Member #2

    Biography of instructor/staff member #2

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    1. Course Number

      HEDC101
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