Training and Events
Multilevel Analysis of Social Network Data
|The University of Edinburgh|
Professor Mark Tranmer, Professor of Quantitative Social Sciences, The University of Glasgow
The University of Edinburgh
View in Google Maps (EH3 9DR)
The course will explain how multilevel analysis can be useful for the analysis of social network data, given certain research questions relating to it.
The course begins by briefly reviewing multilevel models for the classic “pupils-in-schools” multilevel analysis example, before explaining how the model framework for that example can then be adapted and developed for social network analysis.
The course focus is on two situations for the multilevel analysis of cross-sectional social network data, with theoretical and practical examples in both cases:
Multilevel Models for non- or minimal overlapping ego-nets.
Multilevel Models for social network dependencies.
One Day Course with registration from 9.30am
Course will run from 10am-4.30pm
Intermediate (some prior knowledge)
£30 per day for UK/EU registered students
Website and registration
Social Network Analysis, MLwiN, R
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