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- Be able to use tethne (a Python library) to parse bibliographic metadata from the Web of Science, JSTOR Data-for-Research, and your Zotero collections.
- Be able to use tethne to generate several different kinds of network models using those metadata.
- Be able to use Cytoscape and/or Gephi to visualize your network models.
- Possess a basic vocabulary and understanding of graph theory, and some common statistics used in network analysis.
- Components, nodes, edges, and degree;
- Directed and undirected graphs;
- Centrality statistics (betweenness, closeness);
- Concepts of flow, conductivity, and connectivity;
- Clustering.
Slides
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