Multilevel analysis of social network for continuous and binary responses

We are pleased to invite you that the UCL Institute of Health and Society is organizing a three-day workshop on multilevel analysis of social network data with R and Mlwin on:

10^th, 11^th and 12^th October 2018.

You will find all the details below:

STSM application for the Action CA1509

Title: Multilevel analysis of social network data for continuous and binary responses; methodological and software issues. 

Host:  Vincent Lorant, Université catholique de Louvain, Brussels, Belgium

Beneficiary: Prof Mark Tranmer, University of Glasgow, United-Kingdom

Objective: The objective of this application is to promote the application of multilevel analysis of network data for a variety of substantive social and health examples, including the most extensive social network survey carried out in in Europe with adolescents, the SILNE  and SILNE-R project (2012-2018) funded by the FP7 and Horizon2020.  This STSM will target both senior and junior researchers and Phd students from the UCLouvain. This STSM reciprocates the STSM to support the visit of Professor Lorant in Glasgow in February 2017.

Motivations:  Most social network analyses models available so far either are applied to a limited number of networks or required meta-analysis of models applied to one network.  

Also, increasingly, multiple networks are embedded in different contexts that need to be taken into account.   Recently, prof Tranmer (Tranmer et al., 2014) proposed to use multiple classification multiple membership models to consider both the multiple membership of egos in different dyads meanwhile ego is member of different classifications.  

Mark Tranmer is Professor of quantitative analysis in Social Sciences at the University of Glasgow (UK). He has a Phd in Social Statistics and is an expert in multilevel analysis of social network data. He is also a specialist in multiple membership. He has given many lectures in UK and abroad and has written many papers and books on these topics.

Program

Deliverable:

• Draft paper with acknowledgment to the cost-net action 15109.
• Conveying practical knowledge of the analysis of social network data with a multilevel structure, including advice on the use of software.   

Practical details

For registration before the 30 of june 2018 the required at valerie.vanbutsele@uclouvain.be

Want to present a paper on DAY 3? Please sen your abstract to Adeline Grard adeline.grard@uclouvain.be

Registration fee of 20 euros (coffee and lunch), to be paid at IBAN BE60 0016 3988 9070 to UCL-IRSS/COLLOQUES with the mention "Workshop Trammer+ your name"

For more information: Adeline Grard adeline.grard@uclouvain.be