Tiago Peixoto
@tiago.skewed.de
Statistical mechanic, secular Bayesian.
Prof. of Complex Systems and Network Science @ IT:U, Austria
Head of the “Inverse Complexity Lab”.
@invcomplexity.skewed.de
https://skewed.de/lab
Prof. of Complex Systems and Network Science @ IT:U, Austria
Head of the “Inverse Complexity Lab”.
@invcomplexity.skewed.de
https://skewed.de/lab
It's truly remarkable how blatant propaganda can be.
January 29, 2026 at 8:32 AM
It's truly remarkable how blatant propaganda can be.
It's like those movie posters where the billing order does not match the promotion material.
December 11, 2025 at 10:15 AM
It's like those movie posters where the billing order does not match the promotion material.
I enjoyed visiting Florence for #STATPHYS29...
July 24, 2025 at 3:33 PM
I enjoyed visiting Florence for #STATPHYS29...
Best official merchandise for @netsciconf.bsky.social!
June 5, 2025 at 4:45 PM
Best official merchandise for @netsciconf.bsky.social!
Our approach is able to distinguish between posterior probabilities and weight magnitudes, something which is in general conflated with most other methods. We use this to compare our inferential reconstruction with those based on correlation thresholds. The discrepancy is massive! 9/N
March 12, 2025 at 11:57 AM
Our approach is able to distinguish between posterior probabilities and weight magnitudes, something which is in general conflated with most other methods. We use this to compare our inferential reconstruction with those based on correlation thresholds. The discrepancy is massive! 9/N
This allows us to probe the ensemble of reconstructions, like in the case of the network of influence between deputies in the Brazilian congress, based only on their voting patterns. 8/N
March 12, 2025 at 11:57 AM
This allows us to probe the ensemble of reconstructions, like in the case of the network of influence between deputies in the Brazilian congress, based only on their voting patterns. 8/N
The current work leverages on those developments to produce *samples* from the posterior distribution of reconstructed networks, according to their plausibilities, in a manner that also works for larger problem instances. 7/N
March 12, 2025 at 11:57 AM
The current work leverages on those developments to produce *samples* from the posterior distribution of reconstructed networks, according to their plausibilities, in a manner that also works for larger problem instances. 7/N
Network reconstruction is needed when we do not have direct measurements on the network structure, only on the dynamics that it generates, or some other indirect data. It's an important problem, with direct relevance to ecology, neuroscience, epidemiology, and others.
dx.doi.org/10.1038/s414... 2/N
dx.doi.org/10.1038/s414... 2/N
March 12, 2025 at 11:57 AM
Network reconstruction is needed when we do not have direct measurements on the network structure, only on the dynamics that it generates, or some other indirect data. It's an important problem, with direct relevance to ecology, neuroscience, epidemiology, and others.
dx.doi.org/10.1038/s414... 2/N
dx.doi.org/10.1038/s414... 2/N
🚨 New paper on ArXiv:
“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
“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
March 12, 2025 at 11:57 AM
🚨 New paper on ArXiv:
“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
“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
Just a regular morning in Vienna...
February 5, 2025 at 8:23 AM
Just a regular morning in Vienna...
But the temperature is going up as the number of pirates go down!
December 19, 2024 at 6:47 PM
But the temperature is going up as the number of pirates go down!
That's demonstrably false in a variety of easy examples.
December 19, 2024 at 6:08 PM
That's demonstrably false in a variety of easy examples.
The number of pirates and the global temperature are clearly correlated, therefore they are “functionally connected”?
What a completely pointless concept.
Why not just say it's correlated and leave it at that?
Why deny the obvious fact that FC is trying to claim something more profound?
What a completely pointless concept.
Why not just say it's correlated and leave it at that?
Why deny the obvious fact that FC is trying to claim something more profound?
December 19, 2024 at 5:56 PM
The number of pirates and the global temperature are clearly correlated, therefore they are “functionally connected”?
What a completely pointless concept.
Why not just say it's correlated and leave it at that?
Why deny the obvious fact that FC is trying to claim something more profound?
What a completely pointless concept.
Why not just say it's correlated and leave it at that?
Why deny the obvious fact that FC is trying to claim something more profound?
It uses C++ under the hood for the heavy lifting, making it quite fast.
This version includes new features, bug fixes, and improved documentation: graph-tool.skewed.de/static/doc/
Did you know that you can infer network from dynamics using graph-tool? graph-tool.skewed.de/static/doc/d... 2/N
This version includes new features, bug fixes, and improved documentation: graph-tool.skewed.de/static/doc/
Did you know that you can infer network from dynamics using graph-tool? graph-tool.skewed.de/static/doc/d... 2/N
December 2, 2024 at 12:55 PM
It uses C++ under the hood for the heavy lifting, making it quite fast.
This version includes new features, bug fixes, and improved documentation: graph-tool.skewed.de/static/doc/
Did you know that you can infer network from dynamics using graph-tool? graph-tool.skewed.de/static/doc/d... 2/N
This version includes new features, bug fixes, and improved documentation: graph-tool.skewed.de/static/doc/
Did you know that you can infer network from dynamics using graph-tool? graph-tool.skewed.de/static/doc/d... 2/N
Good news everyone! A new version of graph-tool is just out! @graph-tool.skewed.de
graph-tool.skewed.de
Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
#networkscience
graph-tool.skewed.de
Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
#networkscience
December 2, 2024 at 12:55 PM
Good news everyone! A new version of graph-tool is just out! @graph-tool.skewed.de
graph-tool.skewed.de
Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
#networkscience
graph-tool.skewed.de
Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
#networkscience
🚨Job alert!🚨
Come join us at the Inverse Complexity Lab! @invcomplexity.bsky.social
We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria.
skewed.de/lab/call.html
Deadline is 30 Nov 2024.
1/8
Come join us at the Inverse Complexity Lab! @invcomplexity.bsky.social
We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria.
skewed.de/lab/call.html
Deadline is 30 Nov 2024.
1/8
October 15, 2024 at 3:57 PM
🚨Job alert!🚨
Come join us at the Inverse Complexity Lab! @invcomplexity.bsky.social
We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria.
skewed.de/lab/call.html
Deadline is 30 Nov 2024.
1/8
Come join us at the Inverse Complexity Lab! @invcomplexity.bsky.social
We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria.
skewed.de/lab/call.html
Deadline is 30 Nov 2024.
1/8
We're living in a cyberpunk reality, but a stupider, B-movie variety.
September 26, 2024 at 7:32 AM
We're living in a cyberpunk reality, but a stupider, B-movie variety.
These young kids need to get off my lawn...
September 17, 2024 at 2:35 PM
These young kids need to get off my lawn...
It uses C++ under the hood for the heavy lifting, making it quite fast.
This version includes new features, bug fixes, and improved documentation: graph-tool.skewed.de/static/doc/
One of the new features is scalable and principled network reconstruction: graph-tool.skewed.de/static/doc/d...
2/N
This version includes new features, bug fixes, and improved documentation: graph-tool.skewed.de/static/doc/
One of the new features is scalable and principled network reconstruction: graph-tool.skewed.de/static/doc/d...
2/N
May 6, 2024 at 10:05 AM
It uses C++ under the hood for the heavy lifting, making it quite fast.
This version includes new features, bug fixes, and improved documentation: graph-tool.skewed.de/static/doc/
One of the new features is scalable and principled network reconstruction: graph-tool.skewed.de/static/doc/d...
2/N
This version includes new features, bug fixes, and improved documentation: graph-tool.skewed.de/static/doc/
One of the new features is scalable and principled network reconstruction: graph-tool.skewed.de/static/doc/d...
2/N
Good news everyone! A new version of graph-tool is just out!
graph-tool.skewed.de
graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
graph-tool.skewed.de
graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
May 6, 2024 at 10:04 AM
Good news everyone! A new version of graph-tool is just out!
graph-tool.skewed.de
graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
graph-tool.skewed.de
graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
Are you attending #netsci2024 and want to present your newest work on statistical network methods?
Submit your talk to SINM: sinm.network
We have excellent speakers: Roger Guimerà, Matthew Eichhorn, and Zachary Lubberts (and more!)
Submission deadline is April 1st.
Submit your talk to SINM: sinm.network
We have excellent speakers: Roger Guimerà, Matthew Eichhorn, and Zachary Lubberts (and more!)
Submission deadline is April 1st.
March 7, 2024 at 10:05 AM
Are you attending #netsci2024 and want to present your newest work on statistical network methods?
Submit your talk to SINM: sinm.network
We have excellent speakers: Roger Guimerà, Matthew Eichhorn, and Zachary Lubberts (and more!)
Submission deadline is April 1st.
Submit your talk to SINM: sinm.network
We have excellent speakers: Roger Guimerà, Matthew Eichhorn, and Zachary Lubberts (and more!)
Submission deadline is April 1st.
We're hiring! Tenure-track Assistant Professor at DNDS, CEU, in Vienna, Austria!
The focus is on social data science, social network science, or quantitative social science — broadly interpreted.
Deadline: February 20, 2024
For questions, get in touch!
www.ceu.edu/job/assistan...
The focus is on social data science, social network science, or quantitative social science — broadly interpreted.
Deadline: February 20, 2024
For questions, get in touch!
www.ceu.edu/job/assistan...
January 8, 2024 at 10:37 AM
We're hiring! Tenure-track Assistant Professor at DNDS, CEU, in Vienna, Austria!
The focus is on social data science, social network science, or quantitative social science — broadly interpreted.
Deadline: February 20, 2024
For questions, get in touch!
www.ceu.edu/job/assistan...
The focus is on social data science, social network science, or quantitative social science — broadly interpreted.
Deadline: February 20, 2024
For questions, get in touch!
www.ceu.edu/job/assistan...