Members: Adar, Cummings, Golbeck, and Krishnamurthy

Use the following topic areas to guide your discussion of useful tools for modules on networks. Feel free to add more.

• Web-based social networks like Facebook
• Internet data from Cooperative Association for Internet Data Analysis <note>Bala, could you fill in other sources too</note>
• Preference information for music from AudioScrobbler
• ...

• GUESS: extensible graph analysis package.
  
  From the website:
  GUESS is an exploratory data analysis and visualization tool for graphs and networks. The system contains a domain-specific embedded language called Gython (an extension of Python, or more specifically Jython) which supports the operators and syntactic sugar necessary for working on graph structures in an intuitive manner. An interactive interpreter binds the text that you type in the interpreter to the objects being visualized for more useful integration. GUESS also offers a visualization front end that supports the export of static images and dynamic movies.
  

• Manual (PDF)
• Adar, Eytan, GUESS: A Language and Interface for Graph Exploration (PDF), CHI 2006
• Python (Gython)
  • Instant Python: a primer on Python that gives some essentials
  • Python Tutorial: from Guido van Rossum, author of Python
  • Jython: a Python interpreter written in Java so that its easy to call Java code from Python and vice versa
  • Python Patterns - Implementing Graphs: a simple implementation of graphs in Python
• Edges between colored or thickened by depth of communication. See that over time

• FilmTrust

• Netvis
• Tutorial: learn the research method behind network construction
• Comparing and contrasting two networks

• Taste: flexible collaborative filtering package for Java
  • Javadoc
• Duke Scrobbler: music profile sharing tool based off of the AudioScrobbler service and the audioPod iPod plugin

• NING: Tools for building Web-based public or private social networks

• Inferring and Visualizing Social Networks on IRC

• SocialAction: Making sense of social networks. Takes HCI concepts applies them to graph visualization.

• Network WorkBench

• Support for visualization that they can put on their facebook pag