Tweets about Statistical Network Analysis from @albertocaimo
Dublin 🇮🇪
Joined May 2013
- Tweets567
- Following405
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Bayesian SNA retweeted
'#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 retweeted
#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 retweeted
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/s43586-0…
Bayesian SNA retweeted
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-STS743 . #networkscience @SocNetAnalysts
ALT Statist. Sci. Volume 35, Number 4 (2020), 627-662. Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios Michael Schweinberger, Pavel N. Krivitsky, Carter T. Butts, and Jonathan R. Stewart Truncated abstract follows.
Bayesian SNA retweeted
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/packa…
Bayesian SNA retweeted
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
Bayesian SNA retweeted
🔥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/ar…
Bayesian SNA retweeted
"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
Bayesian SNA retweeted
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…
Bayesian SNA retweeted
improved detectability in multiplex networks. Featuring SBMs to solve the problem ;) arxiv.org/abs/1909.10477
Bayesian SNA retweeted
We are excited to announce that @SocNetAnalysts and @netscisociety are joining forces to organize their first joint Sunbelt+NetSci conference in 2021. Networks 2021 will be held July 6-11, 2021 in Washington DC. Info at networks2021.net @Networks2021
Bayesian SNA retweeted
👉 Multilayer ERGMs for weighted networks 👈 is now published online! authors.elsevier.com/c/1ZbnX… | #ERGM
Bayesian SNA retweeted
Bergm 5⃣ (Bayesian statistical network analysis for #Rstats) is now available on CRAN❗ Major improvements in terms of functionality and performance❗acaimo.github.io/Bergm/
Bayesian SNA retweeted
Congrats to the whole #statnet team for the Richards Software Award this evening. It's difficult to create and maintain software, but it's equally difficult to create and maintain collaborations. Thanks for working together to produce such an amazing tool #sunbelt2019
Bayesian SNA retweeted
First day at #Sunbelt2019! A great way to explore some statistical models for SNA in different workshops (comparing models, ego ERGM and Latent Variable models)
Bayesian SNA retweeted
New version of lvm4net 📦 for #rstats is now online! It includes new functions for two-mode #networks. More info at: igollini.github.io/lvm4net/ Stop me at #Sunbelt2019 for a chat and some stickers!
Bayesian SNA retweeted
All the material for the #Sunbelt2019 workshop on "Exploring networks using latent variable models in #rstats with lvm4net" is available at github.com/igollini/lvm4net-…
First day at #Sunbelt2019! A great way to explore some statistical models for SNA in different workshops (comparing models, ego ERGM and Latent Variable models)
Bayesian SNA retweeted
Linkage, the statistical AI algorithm to analyse communication networks (linkage.fr), now has more than 800 registered users ! @cbouveyron @dam_io. Powered by @Univ_Paris @CNRS @INSMI_CNRS @SorbonneParis1 @IDFInnov 💫