Memetracker

Memetracker is looking for a new maintainer. If you're interested, send an email to Mark Boudreau at memetrackermodule@gmail.com

The memetracker module uses algorithms in the machinelearningapi to intelligently filter and group content from designated content sources both internal and external. The module's purpose is to find and display to a community in real time the most interesting conversations and memes within a community as they emerge.

Memetracker seeks to emulate the functionality of successful commercial memetrackers such as Techmeme, Polymeme, Google News, Tailrank, and Megite. It will be an open-source implementation of memetracking technology that can be easily plugged into Drupal-based community sites.

Depends on the machinelearningapi. Both modules must be installed.

I led a session on memetracker at Drupalcon Szeged. View the session or download the PDF of the slides.