DH LAB
Menu
  • Digital Humanities Lab
  • Projects
  • People
  • Blog
The Digital Humanities Lab at Georgia Tech
Browse: Home » igraph
Update 2: node2vec community detection with a co-occurrence graph

Update 2: node2vec community detection with a co-occurrence graph

October 21, 2018 · by Arshiya Singh · in abolition

Previous post on Louvain On node2vec, we were able to successfully run our weighted co-occurrence graph. After using PCA with TSNE to reduce the dimensions shown, the node2vec model has more well-defined clusters here than on our previous bipartite graph….

Louvain Cluster 15

Update: Detecting communities with a co-occurrence graph

October 21, 2018 · by Arshiya Singh · in abolition

Previous post From our previous post, we’ve discovered that the community detection algorithms were mainly grouping based on document/location. This time, we created a new weighted co-occurrence graph of all the people in all documents, similar to the Les Miserables…

Copyright © 2022 DH LAB

Powered by WordPress and Origin