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Organizado por Escola de Doctorat

Master class: "Big Data Analysis for Social Scientists"

  • Fechas:

    Del 10/07/17 al 11/07/17

  • Lugar:

    Tony Bates Room, Tibidabo building, Av.Tibidabo,39-45 08035 Barcelona, Barcelona, España (mapa)

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The Doctoral School and the IN3 are pleased to invite you to the Master class "Big Data Analysis for Social Scientists" by Prof. Robert Ackland, Associate Professor at the School of Sociology and Centre for Social Research & Methods (ANU College of Arts and Social Sciences, Australia).



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 (note: with 1-day course only one of these data sources will be covered in detail)
  • Basic 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)

The course will be particularly appealing to social scientists who want to become more computationally literate, and those from technical disciplines (e.g. computer science, information science) who would like to learn how social scientists are analysing digital trace data from the Web.

Target audience and course details

The target audience for this course is research students, academics and researchers with a fairly strong technical background. It is preferable that students have had some exposure to social network analysis and quantitative text analysis. Experience with R or other programming languages is also desirable, but the course includes a brief R and RStudio 'refresher'. It will be assumed that participants already have a recent version of R and RStudio installed on their laptops. It is also assumed that participants will have internet access (for installing R packages, collecting social media data via an API).

Participants wishing to collect their own social media datasets will need to have pre-arranged API access (pre-collected datasets will also be provided for participants who do not have API access). A course website will provide: R scripts, instructions for API access, datasets.

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Programa ↑ subir

Jul 2017
  • 13:00 - 15:00
    First session of the master class
Jul 2017
  • 08:00 - 11:00
    Second session of the master class
  • 13:00 - 15:00
    Third session of the master class

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