Big Data Analysis for Social Scientists
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)
6th July 2017
Professor Robert Ackland
The course will start with registration from 9.30am and close at 4.30pm
Participants will use their own laptops and it is assumed that a recent version of R and also RStudio will already have been installed.
Participants will have access to wifi for installing R packages, collecting social media data via an API)
The University of Edinburgh
Moray House School of Education
Edinburgh EH8 9JX
Associate Professor Robert Ackland has a joint appointment in the School of Sociology and the Centre for Social Research and Methods at the Australian National Univesity (ANU)
He was awarded his PhD in economics from the ANU in 2001 and has been researching online social and organisational networks since 2002.
The fee per teaching day is:
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Cancellation Policy: Please be reminded that you will be charged the full registration fee if you cancel your place within 4 weeks before the training delivery date or you fail to attend.
If you are able to fill the place on the course you are cancelling then the cancellation charge will not apply.