Multilevel Analysis of Social Network Data
Date:
10/10/2017
Organised by:
The University of Edinburgh
Presenter:
Professor Mark Tranmer, Professor of Quantitative Social Sciences, The University of Glasgow
Level:
Intermediate (some prior knowledge)
Contact:
Laura Marshall
L.marshall@ed.ac.uk
0131 651 3001
Working Week: Monday-Wednesday
Map:
View in Google Maps (EH3 9DR)
Venue:
The University of Edinburgh
ISG Training and Meeting Suite
Argyle House
3 Lady Lawson Street
Edinburgh
Description:
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
Cost:
£30 per day for UK/EU registered students
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants.
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Full refund for cancellation one month before the course, NO refunds can be made after this date.
Website and registration:
Region:
Scotland
Keywords:
Social Network Analysis, MLwiN, R
Related publications and presentations: