Hello :) Today is Day 106!
A quick summary of today:
- covered the next part of XCS224W: ML with Graphs - Community structure in networks
Covered topics:
Community detection, Granovetter’s social science study, Modularity, the Louvain algorithm, detecting overlapping communities, Community Affiliation Graph Model (AGM), graph likelihood, BigCLAM model
Today’s post is earlier than usual because I am a bit sick and cannot breath well. Nevertheless, I am glad I gathered the power to go over this lecture. ^^
That is all for today!
See you tomorrow :)