Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
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WS-M08: Introduction to inference with networks in R
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| Session Abstract | ||
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This 3-hour workshop provides an introduction to statistical methods for analyzing social networks. The focus is on nodal and dyadic level analysis. We will be using R packages migraph, sna, and xUCINET to perform these analyses. The course outline is as follows: 1) testing a network’s basic properties using conditional uniform graph (CUG) test (e.g., reciprocity, homophily) 2) nodal level statistical tests 3) permutation-based comparisons between groups of nodes 4) QAP correlation and linear regression – the underlying logic of QAP, data format etc. 5) QAP GLM – logistic, poisson, cognitive-social-structures, and other types and extensions | ||
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Introduction to inference with networks in R This 3-hour workshop provides an introduction to statistical methods for analyzing social networks. The focus is on nodal and dyadic level analysis. We will be using R packages migraph, sna, and xUCINET to perform these analyses. The course outline is as follows: 1) testing a network’s basic properties using conditional uniform graph (CUG) test (e.g., reciprocity, homophily) 2) nodal level statistical tests 3) permutation-based comparisons between groups of nodes 4) QAP correlation and linear regression – the underlying logic of QAP, data format etc. 5) QAP GLM – logistic, poisson, cognitive-social-structures, and other types and extensions | ||