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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’’).
WiFi: 
Network: Visiteurs UQAM User name: asunbelt2019 Password: DQ32fK23
OR
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). 
Tuesday, June 18 • 08:30 - 11:30
Introduction to SNA descriptive statistics and hypothesis testing using R/statnet (3-hour)

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Organizer: Lorien Jasny

This workshop will serve as an introduction to the use of basic statistical methods for network analysis within the R/statnet platform. The approach taken is practical rather than theoretical, with emphasis on simple, robust methods for hypothesis testing and exploratory data analysis of single and multi-network data sets. Topics will include: tests for marginal relationships between node or graph-level indices and covariates; Monte Carlo tests for structural biases; network correlation, autocorrelation, and regression; and exploratory multivariate analysis of multinetwork data sets. We will also cover interpreting R code in existing functions and writing your own functions. Attendees are expected to have had some prior exposure to R, but extensive experience is not assumed. Completion of the "Introduction to Network Analysis with R and statnet" workshop session is suggested (but not required) as preparation for this session. Familiarity with the basic concepts of descriptive network analysis (e.g., centrality scores, network visualization) is strongly recommended. To get the most out of the workshop, participants are recommended to bring a laptop with R, RStudio, and Statnet installed. Sample data will be provided by the organizer.