*****  To join INSNA, visit  *****

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.


Day 1 - Fundamental network concepts:

    Collection and organization of relational data, Visualisation, Network

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


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


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.


The workshop will be limited to 30 participants. Registration at (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]


Birkbeck Institute for Data Analytics (BIDA)

Birkbeck, University of London

Malet Street

London WC1E 7HX

Map of the Central London campus <>

SOCNET is a service of INSNA, the professional association for social
network researchers ( To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.