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UID:pretalx-2026-XHN8TA@conferences.acspri.org.au
DTSTART;TZID=AEST:20261124T133000
DTEND;TZID=AEST:20261124T170000
DESCRIPTION:This workshop provides a hands-on tutorial to using exponential
 -family random graph models (ERGMs) for statistical analysis of social net
 works\, using the {ergm} in R. The {ergm} package provides tools for the s
 pecification\, estimation\, assessment and simulation of ERGMs that incorp
 orate the complex dependencies within networks. Topics covered in this wor
 kshop include:\n* an overview of the ERGM framework\;\n* types of terms us
 ed in ERGMs\n* defining and fitting models to empirical data\;\n* interpre
 ting model coefficients\;\n* goodness-of-fit and model adequacy checking\;
 \n* simulation of networks using fitted ERG models\;\n* degeneracy assessm
 ent and avoidance.\n\n{ergm} is a part of the Statnet suite of R packages 
 for network analysis.
DTSTAMP:20261013T070033Z
LOCATION:MacCallum Room
SUMMARY:Exponential Random Graph Models (ERGMs) using Statnet - Pavel N. Kr
 ivitsky
URL:https://conferences.acspri.org.au/2026/talk/XHN8TA/
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