Categories
Uncategorized

Measuring Homophily in Social Networks

Introduction As we have already learned in class, nodes in real network are usually not randomly connected, which is why we have focused on tweaking randomly generated graphs to better model the real world. The underlying reason for this phenomena is that nodes on real networks such as social networks are not random nodes, rather […]

Categories
Uncategorized

Using Ego-Clusters to Measure Network Effects at LinkedIn

  Introduction: Have you ever wondered how companies, like LinkedIn, test new features to their platform before releasing them for the public? Does this new feature correctly perform the task it is made to do? How do they know if people would like this new feature over other features? At LinkedIn, most of these questions […]