Detection of vibrant communities within a social network
The project implements a research paper as listed in the repository to detect similar communities in a user's network.
We use Python igraph object to build the graph object. We use Structure-Attribute Clustering Algorithms to detect the communities within a network and use Euclidean distance as a similarity metric as described in the paper.
We have used the social network data from Facebook.