Update 2: node2vec community detection with a co-occurrence graph
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….
Update: Detecting communities with a co-occurrence graph
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…
Exploring Network Models
Previous post: Creating a Network Graph There are a number of definitions for what it means to belong to a community. Usually, people are involved in multiple communities, but they have stronger ties to a few of those communities because they know…