Hi everyone

Instats is excited to offer a 2-day seminar, Advanced Network Analysis: 
Exponential Random Graphs 
<https://instats.org/seminar/advanced-network-analysis-exponential-ra>, 
livestreaming September 1–3 and led by Dr. Basak Taraktas. Traditional network 
metrics often fall short when researchers want to move from describing 
relational structures to explaining the social mechanisms that create them; 
Exponential Random Graph Models (ERGMs) fill this gap by modeling networks as 
outcomes of local configurations and nodal attributes while properly addressing 
interdependence in the data. Across two intensive days you will gain a firm 
conceptual grounding in ERGMs, learn to estimate models via maximum likelihood 
and MCMC in R, diagnose convergence and degeneracy, and interpret coefficients 
that capture homophily, transitivity, activity, popularity, and more. Hands-on 
labs—featuring a case study on Ottoman revolutionaries—guide you through 
loading network data, specifying and fitting ERGMs with the ergm package, 
assessing goodness-of-fit through simulation, and extending analyses to nodal 
covariates or temporal settings. Whether your research revolves around 
friendship formation, legislative co-sponsorship, disease transmission, or 
intra-organizational collaboration, this seminar equips you with publishable 
techniques for uncovering the generative processes behind complex networks. 

This seminar is one of a 2-part course on Network Analysis: Introductory and 
Advanced <https://instats.org/course/network-analysis-introductory--advance2>. 
When the full 2-part course is purchased, participants automatically receive a 
10% discount on both seminars.

Sign up today to secure your spot, and please share this opportunity with 
colleagues and students who might benefit!


Best wishes

Michael Zyphur
Professor and Director
Institute for Statistical and Data Science
https://instats.org
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