Social Network Analysis in Python
Networks today are part of our everyday life. Let's learn how to visualize and understand a social network in Python using Networks
This dataset consists of 'circles' (or 'friends lists') from Facebook. Facebook data was collected from survey participants using this Facebook app. The dataset includes node features (profiles), circles, and ego networks.
https://snap.stanford.edu/data/ego-Facebook.html
1- Betweenness Centrality
2- Degree Centrality
3- Closeness Centrality
4- Eeigenvector Centrality
5- Find shortest path
6- Find all neighbors the nodes
7- Degree Grapg
8- K-clique
9- K-core
10- pagerank