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SkillsCast

Data science with F#: Social network analysis - Evelina Gabasova

24th September 2014 in London at Skills Matter

This SkillsCast was filmed at Data science with F#: Social network analysis - Evelina Gabasova

Online social media connect us all. How can we use the information that is hidden in our social networks? For example, do you know who is your most influential follower on Twitter? Join Evelina Gabasova as we explore these questions with F#.

In this session we will work through the whole process of social network analysis: from downloading connections using Twitter REST-based API, to implementing our own PageRank algorithm which finds the most central Twitter accounts. In the process you’ll see how we can use F# type providers to access data and harness the power of the statistical language R to run some machine learning algorithms.

At the end, you’ll know how to run your own analysis on data from Twitter and how to use data science tools to gain insights from social networks.

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Data science with F#: Social network analysis - Evelina Gabasova

Evelina Gabasova

Evelina is a machine learning researcher working in bioinformatics, trying to reverse-engineer cancer at University of Cambridge. When not at work, she likes to play with fun datasets to extract interesting insights.