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Big Data Analysis for Social Scientists

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Course Information


This course introduces participants to the collection and analysis of socially-generated ‘big data’ using the R statistical software. The main emphasis is on applying social network analysis and quantitative text analysis to data from social media and the WWW. The course will also provide an opportunity for participants to learn how these data and techniques are being used in social science research.

The course covers:

R and RStudio refresher, installing R Packages

Collecting YouTube video comment data, Facebook fan page data and twitter data with socialMediaLab R package (please note with one day course only one of these data sources will be covered in detail)

Basis social network analysis in R/igraph (graph visualisation, core node-and network-level metrics, network clustering, constructing two-mode networks)

Basic text analysis in R (building a corpus, descriptive analysis, wordclouds)

Course Code


Course Date

6th July 2017

Places Available

Course Leader

Professor Robert Ackland
Course Description



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