Tutorial

Tethne is primarily developed as a Python package, but can also be invoked from the command-line (Mac OSX, Linux; untested for Windows).

• Getting Bibliographic Data
  • Web of Science
  • JSTOR Data-for-Research
• Quickstart (Command-line)
• Quickstart (Python)
  • Simple Networks
  • Sliced Networks for Comparative or Longitudinal Analysis
• Coauthorship Networks
  • Getting Started
  • Reading WoS Data
  • Slicing WoS Data
  • Building the Coauthor Graph
  • Write the Graph to GraphML
  • Visualizing the Merged Network in Cytoscape
  • Inter-institutional Collaboration in Gephi
  • Coauthorship network evolution
• Bibliographic Coupling
  • Getting Started
  • Reading WoS Data
  • Slicing WoS Data
  • Building the Bibliographic Coupling Graph
  • Write the Graph to GraphML
  • Visualizing the Merged Network
  • Cluster Detection
  • Bibliographic Coupling over Time
• Geographic Networks
  • Requirements
  • Are your data suitable?
  • Coauthorship network with geocoding
  • Export to GraphML
  • Geo Layout in Gephi
  • Eigenvector Centrality
  • Plotting geodata on a basemap
• Institutional Networks
  • Summary
  • Visualization
• Generating and Visualizing Topic Models with Tethne and MALLET
  • Before You Start
  • Loading JSTOR DfR
  • Generating Documents
  • Topic Modeling in MALLET
  • Parsing MALLET Output
  • Semantic Network
  • Wrapping up, Looking forward

Step-By-Step Guide (Python)

• Creating Networks from Bibliographic Data
  • Parsing Data
  • Creating Networks
    • Generating a single network directly from a list of Paper objects
    • Generating a GraphCollection from a DataCollection
  • Networks of Documents
  • Networks of Authors
• Analyzing Bibliographic Networks
  • Analyzing individual networks
  • Analyzing a GraphCollection
    • Methods