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Statistical Social Network Analysis in R (SSNAR17)



June 21-23

Birkbeck, University of London

 

Follow @SSNAR17 on Twitter!

 

 

 

This hands-on workshop will provide participants with an overall understanding of statistical models for the analysis of relational data in R with application to real-world problems in social sciences.

The workshop is open to postgraduates, early career researchers and scientists from academia, industry and government agencies.

Participants are encouraged to bring their own data to work on.

 

 

Programme:

Day 1 - Fundamental network concepts:

    Collection and organization of relational data, Visualisation, Network descriptives

   

Day 2 - Statistical modelling:

    Exponential random graph models (ERGMs)

    Application and tips on working with real-world datasets

   

Day 3 - Advanced topics:

    Bayesian inference for ERGMs

    Latent space network models

   

 

Organiser:

Isabella Gollini - Lecturer in Statistics - Birkbeck, University of London, UK

 

Instructors:

Isabella Gollini, Lecturer in Statistics - Birkbeck, University of London, UK

 

Alberto Caimo, Lecturer in Statistics - Dublin Institute of Technology, Ireland

 

Paola Zappa, Lecturer in Management - Maynooth University, Ireland

 

 

Invited speakers:

Alessandro Provetti, Director of Birkbeck Institute of Data Analytics, UK

Kerstin Sailer, Reader in Social and Spatial Networks - The Bartlett School of Architecture, University College London, UK

 

Nicky Zachariou, Data Scientist at Government Digital Service, UK

 


Prerequisites:

While no prior experience with social network analysis will be assumed, participants will be expected to understand fundamental social network concepts and terminology, and to have some knowledge of basic concepts in statistical inference.

 

 

Registration:

The workshop will be limited to 30 participants. Registration at http://bida.bbk.ac.uk/SSNAR17 (from beginning of April).

 

 

Fees:

Students* £250

Others* £400

Fees include: Course material, coffee breaks, lunch, and one social dinner.

* We may be able to waive the fee for a limited number of deserving candidates. Women are especially encouraged to apply! To apply send a CV and a cover letter to: [log in to unmask]

 

 

Contact information:

[log in to unmask]

 

 

Location:

Birkbeck Institute for Data Analytics (BIDA)

Birkbeck, University of London

Malet Street

London WC1E 7HX

Map of the Central London campus

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