Analysing Email Ego Networks

For this project, we look at network properties of ego networks

in a email network from a research lab. Due to the

nature of the email network, most of the ego networks have

a star-like structure. After the removal of the ego, there

is one large connected component that roughly corresponds

to email addresses within the lab, and isolated nodes corresponding

to the external addresses. We look at the effect

of tie strength on the connectedness of the ego network.

We also try to group nodes in the ego network using

Girvan-Newman and by tie strength. We found that using

tie strength gives more clearly defined clusters.

Skills: Data Science, R Programming Language

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