Bayesian SNA @BayesianSNA
Tweets about Statistical Network Analysis from @albertocaimo acaimo.github.io/Bergm Dublin 🇮🇪 Joined May 2013-
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'#ergm' 4.2 is out, featuring a new framework for getting help and searching for ERGM statistics, constraints, and reference distributions (including those from other packages), as well as improvements to model specification and computation. #sna @SocNetAnalysts #networkscience
L-2 Regularized maximum likelihood for β-model in large and sparse networks arxiv.org/abs/2110.11856
Highly Scalable Maximum Likelihood and Conjugate Bayesian Inference for ERGMs on Graph Sets with Equivalent Vertices arxiv.org/abs/2110.13527
#Networks2021 Workshop on Bayesian Exponential Random Graph Models with Bergm - June 21, 09:00-12:00 EDT - Don't miss it out! Only a few places left!
Random graphs with node and block effects: models, goodness-of-fit tests, and applications to biological networks arxiv.org/abs/2104.03167
Bayesian exponential random graph models for populations of networks arxiv.org/abs/2104.05110
A Stein Goodness of fit Test for Exponential Random Graph Models arxiv.org/abs/2103.00580
A Latent Space Model for Multilayer Network Data arxiv.org/abs/2102.09560
Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model arxiv.org/abs/2101.07197
Primer on Bayesian statistics published in Nature. But it's not only science that is recognizing Bayesian modeling as the powerful inference method that it is, I see the same happening in business. Exciting times! nature.com/articles/s4358…
In 2017, we (see below) set out to answer some questions and clear up some common misconceptions about history, inference, and applicability of ERGMs. The result is, at last, officially out in Statistical Science: dx.doi.org/10.1214/19-STS… . #networkscience @SocNetAnalysts
The latest version of Bergm is now on CRAN. With huge thanks to @albertocaimo for leading this project. Highlight: fast estimation of the evidence (marginal likelihood) cran.r-project.org/web/packages/B…
Modeling partitions of individuals arxiv.org/abs/2009.13974
Improving ERGM Starting Values Using Simulated Annealing arxiv.org/abs/2009.01202
Introducing "Robust Bayesian inference of network structure from unreliable data," a (hopefully!) pedagogical introduction to inferring networks from noisy data -- with code. w/ George T. Cantwell and MEJ Newman 📃Preprint: arxiv.org/abs/2008.03334
🔥Hot off the press🔥New article in #SocialNetworks with @albertocaimo and @PaoloCampanaCAM introducing a latent space model for interdependent ego-networks applied to human smuggling data 🚔 #openaccess #sna #RStats sciencedirect.com/science/articl…
"Italian sociologists: a community of disconnected groups" Together with @vtraag @albertocaimo @squazzoni , we explored the (dis)connectivity of Italian sociological community through a quantitative analysis, a #Thread Read the full-text online here: rdcu.be/b4TA0
Study on #coauthorship #networks of #sociologists in #Italy by @Akbaritabar @vtraag @albertocaimo revealing hidden patterns and key colleagues. Relevant for @newsAIS @sisecit link.springer.com/article/10.100…
Kernel-based Approximate Bayesian Inference for Exponential Family Random Graph Models arxiv.org/abs/2004.08064
Bayesian Computation with Intractable Likelihoods arxiv.org/abs/2004.04620

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