"Uncertainty quantification and posterior sampling for network reconstruction"
Previous explainer thread here: bsky.app/profile/tiag...
Code here: graph-tool.skewed.de/static/docs/...
royalsocietypublishing.org/doi/10.1098/...
"Uncertainty quantification and posterior sampling for network reconstruction"
Previous explainer thread here: bsky.app/profile/tiag...
Code here: graph-tool.skewed.de/static/docs/...
royalsocietypublishing.org/doi/10.1098/...
"Scalable network reconstruction in subquadratic time"
royalsocietypublishing.org/doi/10.1098/...
Previous explainer thread here: bsky.app/profile/tiag...
Code here: graph-tool.skewed.de/static/docs/...
"Scalable network reconstruction in subquadratic time"
royalsocietypublishing.org/doi/10.1098/...
Previous explainer thread here: bsky.app/profile/tiag...
Code here: graph-tool.skewed.de/static/docs/...
Join a vibrant cross-disciplinary cluster supported by the Simons Foundation.
Great opportunity to build a program at the interface of physics, biology & cognition.
Apply ➡️ apply.interfolio.com/173432
Join a vibrant cross-disciplinary cluster supported by the Simons Foundation.
Great opportunity to build a program at the interface of physics, biology & cognition.
Apply ➡️ apply.interfolio.com/173432
https://arxiv.org/abs/2509.21596
https://arxiv.org/abs/2509.21596
Anyone who wants to study networks/complex systems/statistical physics/inference can email me at gtc31@cam.ac.uk
Anyone who wants to study networks/complex systems/statistical physics/inference can email me at gtc31@cam.ac.uk
http://link.aps.org/doi/10.1103/4pg6-mtmt
http://link.aps.org/doi/10.1103/4pg6-mtmt
The Austrian Academy of Sciences is opening up 25 fellowships: www.oeaw.ac.at/en/news/25-n...
A great reason to use our visitor program at #Complexity #Science Hub @csh.ac.at and see how you would fit in: csh.ac.at/engage/resea... 🧪🦋
The Austrian Academy of Sciences is opening up 25 fellowships: www.oeaw.ac.at/en/news/25-n...
A great reason to use our visitor program at #Complexity #Science Hub @csh.ac.at and see how you would fit in: csh.ac.at/engage/resea... 🧪🦋
If you are interested; get in touch!
If you are interested; get in touch!
#ComplexSystems
#ComplexSystems
With @allard.bsky.social and the never-online Simon Lizotte (but you can find him at siliz4.github.io)
With @allard.bsky.social and the never-online Simon Lizotte (but you can find him at siliz4.github.io)
Francesco Bullo
Guanrong Chen
Hawoong Jeong
János Kertész
Renaud Lambiotte
Philippa E. Pattison
Mason A. Porter
Eckehard Schöll
Sara A. Solla
Francesco Bullo
Guanrong Chen
Hawoong Jeong
János Kertész
Renaud Lambiotte
Philippa E. Pattison
Mason A. Porter
Eckehard Schöll
Sara A. Solla
but the thing is, just like everything else, data is _produced_ via processes and mechanisms that profoundly affect the shape of the data
but the thing is, just like everything else, data is _produced_ via processes and mechanisms that profoundly affect the shape of the data
https://github.com/uscuni/neatnet
If you are working with street/planar/spatial networks, this will solve *so* many problems! Many of my projects had this bottleneck - […]
[Original post on datasci.social]
https://github.com/uscuni/neatnet
If you are working with street/planar/spatial networks, this will solve *so* many problems! Many of my projects had this bottleneck - […]
[Original post on datasci.social]
Federico, Associate Professor at CEU DNDS & Director of the PhD Program, has won the 2025 Young Scientist Award in Socio- & Econophysics from the German Physical Society! 🏆
Watch the video: youtu.be/cfv0z7m7mus?...
Federico, Associate Professor at CEU DNDS & Director of the PhD Program, has won the 2025 Young Scientist Award in Socio- & Econophysics from the German Physical Society! 🏆
Watch the video: youtu.be/cfv0z7m7mus?...
“Network Reconstruction via the Minimum Description Length Principle”
journals.aps.org/prx/abstract... 1/3
“Network Reconstruction via the Minimum Description Length Principle”
journals.aps.org/prx/abstract... 1/3
“Uncertainty quantification and posterior sampling for network reconstruction”
TL;DR; We present an efficient method to sample the entire ensemble of possible network reconstructions that are compatible with an indirect observation, e.g. a dynamics.
Short thread: 1/N