Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP
Inbox Social Network Visualization
Python
branch: master
Failed to load latest commit information.
.gitignore ignore
README more README
emails initial commit
hackMTL.py initial commit
network.html initial commit
screenshot.png more info
threads initial commit

README

Nicolas Kruchten's entry for hackMTL on Saturday, November 28

Motivations and more graphical output over at: http://nicolas.kruchten.com/content/2010/11/hackmtl/

This Python script uses the DokDok API to build an in-memory graph of the social network represented by the email threads in your inbox. It crawls the social graph by alternating between querying threads-by-emailAddress and emailAddresses-by-thread. It doesn't do a naive depth-first search but rather keeps a 'hit-list' of frequently-seen addresses and crawls those first, in the hopes of crawling the bulk of the highly-connected network first. This algorithm is what took the longest to implement during hackMTL.

It comes with an on-board HTTP server, which can be used to serve a JSON file to the enclosed HTML file for visualization via a Force-Directed layout provided by the Protovis library. This server can also serve SVG-formatted graphs created by Graphviz.

As it goes, it generates an on-disk cache, in a format suitable for a more powerful graph analysis tool, such as Gephi.

Depends on a number of modules: cherrypy, oauth2, simplejson, pygraphviz/graphviz, as well as the Protovis javascript library.
Something went wrong with that request. Please try again.