Conference Agenda

Session
WS-M08: Introduction to inference with networks in R
Time:
Monday, 23/June/2025:
9:00am - 12:00pm

Session Chair: Tomas Diviak
Session Chair: Robert W Krause
Session Chair: Filip Agneessens
Session Chair: James Hollway

Session Abstract

This 3-hour workshop provides an introduction to statistical methods for analyzing social networks. The focus is on nodal and dyadic level analysis. We will be using R packages migraph, sna, and xUCINET to perform these analyses.

The course outline is as follows:

1) testing a network’s basic properties using conditional uniform graph (CUG) test (e.g., reciprocity, homophily)

2) nodal level statistical tests

3) permutation-based comparisons between groups of nodes

4) QAP correlation and linear regression – the underlying logic of QAP, data format etc.

5) QAP GLM – logistic, poisson, cognitive-social-structures, and other types and extensions


Presentations

Introduction to inference with networks in R

Robert W Krause, Tomas Diviak, Filip Agneessens, James Hollway

This 3-hour workshop provides an introduction to statistical methods for analyzing social networks. The focus is on nodal and dyadic level analysis. We will be using R packages migraph, sna, and xUCINET to perform these analyses.

The course outline is as follows:

1) testing a network’s basic properties using conditional uniform graph (CUG) test (e.g., reciprocity, homophily)

2) nodal level statistical tests

3) permutation-based comparisons between groups of nodes

4) QAP correlation and linear regression – the underlying logic of QAP, data format etc.

5) QAP GLM – logistic, poisson, cognitive-social-structures, and other types and extensions