Welcome to the XXXIX Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA).
Here are some conference-related information...  There are more on the Conference Website (you can download some helpful documents directly from the home page, under ’’Shared Files’’).
Network: Visiteurs UQAM User name: asunbelt2019 Password: DQ32fK23
EDUROAM is also available everywhere in all UQAM Buildings.
There is also a Public WIFI Network in Downtown Montréal: MTL-WIFI (see here for more details).
RESTAURANTS There is no lack of good restaurants and bars near the Conference venue and in Montréal globally. Download the pdf file for a few suggestions (under ’’Shared Files’’ on the website). 
Back To Schedule
Tuesday, June 18 • 15:00 - 18:00
Permutation Tests for Network Data (3-hour)

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Organizer: David Dekker

This workshop focuses on 3 topics regarding the multiple regression quadratic assignment procedure, which encompasses permutation-based tests for network data in the regression analyses framework. First, the workshop provides an introduction into permutation-based testing by explaining the necessity to deal with structural dependencies when analyzing network-like data and demonstrating the mechanics of permutations of data organized in square matrices. Second, in the workshop we will be elaborating on the use of different permutation scheme's for different tests. F-test for model significance and t-tests for coefficient significance require different permutation approaches. Specifically, the different uses of Y-permutation and DSP-permutation will be clarified. Third, an extension of linear models dealing with exogenous grouping will be presented to the participants. The usefulness of introducing further restictions on permutations to deal with exogenous groupings of ties demonstrates the versatility of the approach. An application with time-series and geographic network data is presented. Participants may expect to feel more proficient in using permutation techniques and encouraged to explore the wide range of possible applications for permutation testing that remain unutilized to this day. Technical requirements involve a basic understanding of correlation and regression analyses, and, access to UCInet and R's statnet.