Discovering communities in social networks (REMOTE)

After a long break we are back on a hot topic that has been requested by several members. After reviewing some papers on the community detection problem we selected the following paper:

Defining and Evaluating Network Communities based on Ground-truth

We selected this paper because it presents an easy to use algorithm that would be easy for you to code on python.

 

What to expect in one hour? We will spend 20 minutes explaining the essential parts of the paper and the next 40 minutes on python coding. We will also try to evaluate the results on some real data that can be found here: http://snap.stanford.edu/data/com-LiveJournal.html You are welcome to get yourself prepared by reading the paper and ask questions. If you are interested in deploying in large scale we can show you how to use out of the box graphlab algorithms.

References http://www.meetup.com/Learning-Machine-Learning-by-Example/pages/Lesson_8/

webex

Meeting URL: https://meetings.webex.com/collabs/#/meetings/detail?uuid=M8691W1439E4J3FF8C2THS3GVD-61RD
Meeting Number:[masked]
Host Key:145797
Audio Connection:
United States of America US TOLL:[masked]

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