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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.

Taidot: Datatiede, R-ohjelmointikieli

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Tietoa työnantajasta:
( 2 arvostelua ) VELLORE, India

Projektin tunnus: #14845989

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sahilgoel1994

I want complete explanation for the project Relevant Skills and Experience data analytics , R programming , python, machine learning Proposed Milestones ₹1500 INR - 100% COMPLETION OF WORK

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filipeferminiano

I’m a Data Analyst at Dafiti.com.br. I currently build statistical model to improve the sales performance and predict sales using Python, Machine Learning and other Data Science Tools. Relevant Skills and Experience R Lisää

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EihShin

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