Bayesian SNA

Tweets about Statistical Network Analysis from @albertocaimo

[Pavel N. Krivitsky @PavelKrivitsky]

'#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

[Bayesian SNA @BayesianSNA]

L-2 Regularized maximum likelihood for β-model in large and sparse networks https://t.co/78sa8ra2Rk

[Bayesian SNA @BayesianSNA]

Highly Scalable Maximum Likelihood and Conjugate Bayesian Inference for ERGMs on Graph Sets with Equivalent Vertices https://t.co/vJzn2jd6yD

[Alberto Caimo @albertocaimo]

#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!

[Bayesian SNA @BayesianSNA]

Random graphs with node and block effects: models, goodness-of-fit tests, and applications to biological networks https://t.co/rsmSeLmIas

[Bayesian SNA @BayesianSNA]

Bayesian exponential random graph models for populations of networks https://t.co/8aOGGywo2Q

[Bayesian SNA @BayesianSNA]

A Stein Goodness of fit Test for Exponential Random Graph Models https://t.co/5k7f0U8BhP

[Bayesian SNA @BayesianSNA]

A Latent Space Model for Multilayer Network Data https://t.co/yIcHx6Dwew

[Bayesian SNA @BayesianSNA]

Generative Dynamics of Supreme Court Citations: Analysis with a New Statistical Network Model https://t.co/GopkuGL8kw

[Thomas Wiecki @twiecki]

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! https://t.co/TiIgD3TK5C

[Pavel N. Krivitsky @PavelKrivitsky]

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: https://t.co/xhVEhofqYw . #networkscience @SocNetAnalysts

[Nial Friel @NialFriel]

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)
https://t.co/4F56xiW6lw

[Bayesian SNA @BayesianSNA]

Modeling partitions of individuals https://t.co/OysC1A7tOz

[Bayesian SNA @BayesianSNA]

Improving ERGM Starting Values Using Simulated Annealing https://t.co/rsLz4R1khn

[Jean-Gabriel Young @_jgyou]

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: https://t.co/ne5jezRxuB

[Isabella Gollini @IsabellaGollini]

🔥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 https://t.co/lKazL0J7DJ

[Aliakbar Akbaritabar, @akbaritabar.bsky.social @Akbaritabar]

"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:
https://t.co/bLCxOOjf5t

[Flaminio Squazzoni @squazzoni]

Study on #coauthorship #networks of #sociologists in #Italy by @Akbaritabar @vtraag @albertocaimo revealing hidden patterns and key colleagues. Relevant for @newsAIS @sisecit https://t.co/E6jWGXe4qL

[Bayesian SNA @BayesianSNA]

Kernel-based Approximate Bayesian Inference for Exponential Family Random Graph Models https://t.co/czzJVkCu2L

[Bayesian SNA @BayesianSNA]

Bayesian Computation with Intractable Likelihoods https://t.co/OVMn9kul2h