Statistical mechanic, secular Bayesian.
Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt
Head of the “Inverse Complexity Lab.”
@invcomplexity@social.skewed.de
Author of 
@graph_tool@social.skewed.de (https://graph-tool.skewed.de), and 
@netzschleuder@social.skewed.de (https://networks.skewed.de).
Also on https://bsky.app/profile/tiago.skewed.de
#networks #statistics #bayes #datascience #machinelearning #physics
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
In 2013 Aaron Swartz committed suicide for facing 35 years in prison for mass downloading scientific articles.
13 years later, Meta is almost getting away with an infraction orders of magnitude larger.
The law didn't change.
https://torrentfreak.com/uploading-pirated-books-via-bittorrent-qualifies-as-fair-use-meta/
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Reminder that we've got a 3-year post-doc position open at the @invcomplexity@social.skewed.de lab at IT:U, Linz, Austria!
The deadline is Nov 30.
Please get in contact if you have any questions about the position.
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
🚨Job alert!🚨
Come join us at the Inverse Complexity Lab! @invcomplexity@social.skewed.de
We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria.
https://skewed.de/lab/call.html
Deadline is 30 Nov 2024.
We are looking for an early-stage or more advanced postdoctoral scholar who is interested in building on our ongoing projects, or developing their own research agenda related to inverse problems in network science, complex systems modeling, and/or connections to machine learning.
This position is not bound to a particular research project, and the successful applicant will enjoy intellectual independence and freedom to choose research topics.
We’re seeking applicants with a background in Physics, Computer Science, Statistics, Applied Mathematics, or related fields, and with an interest in interdisciplinary research.
This position is guaranteed for 3 years. The gross salary range is € 66,532 to € 72,000 (indexed for inflation), depending on previous experience.
The employment conditions in Austria include completely free health care (also for family members), social security benefits, 25 days per year of paid vacations, flexible working hours, and possibility of home office.
In addition, IT:U will provide a KlimaTicket—a unified transport pass which gives free access to the entire transportation system in Austria, including trains and local public transport.
IT:U is a brand new public university in Austria, which began operations with its first cohort of professors in 2024, and is devoted to interdisciplinary research. It is co-located with the Johannes Kepler Universität in Linz, at the Science Park campus.
Linz is the third largest city in Austria with a population of 200k, centrally located only 1h15m away from Vienna by train, and short connections to Germany, Italy, and other neighboring countries.
For more information, see the call at https://skewed.de/lab/call.html
Spread the word!
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
I'm happy to announce that as of next week I'm taking up a new position as full professor at IT:U (https://it-u.at)!
IT:U is a brand new public university in Linz, Austria 🇦🇹, that focuses on interdisciplinarity.
At IT:U I'll be heading the “Inverse Complexity Lab” (@invcomplexity@social.skewed.de) focusing on inverse problems in network science and complex systems.
I'll be searching for a post-doc very soon (stay tuned!), and there will be many PhD openings next year.
It has been a pleasure to have been part of DNDS at CEU for the past 5 years! It's a wonderful department, with many colleagues that I will surely miss. (Keep your eyes open for a possible opening there!🤞)
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Did you know that if you install @graph_tool@social.skewed.de via @conda@fosstodon.org it will install binaries that are
optimized for your specific CPU micro-architecture, including SIMD vectorization, in addition to having OpenMP enabled?
It's awesome! Try it out today!
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Did you know that besides its OpenMP support for parallel algorithms, @graph_tool@social.skewed.de also releases Python's global interpreter lock when it reaches its C++ implementations?
This means you can run many algorithms in parallel using threads — from the same process!
More here: https://graph-tool.skewed.de/static/doc/parallel.html#the-global-interpreter-lock-gil
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
@graph_tool@social.skewed.de has now a much improved integration with @matplotlib@vis.social that works with every backend including @ProjectJupyter@hachyderm.io notebooks!
Check it out: https://graph-tool.skewed.de/static/doc/demos/matplotlib/matplotlib.html
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Good news everyone! A new version of graph-tool is just out! @graph_tool@social.skewed.de
@graph_tool@social.skewed.de is a comprehensive and efficient :python: Python library to work with networks, including structural, dynamical and statistical algorithms, as well as visualization.
It uses :cpp: C++ under the hood for the heavy lifting, making it quite fast.
This version includes new features, bug fixes, and improved documentation: https://graph-tool.skewed.de/static/doc/index.html
One of the new features is scalable and principled network reconstruction: https://graph-tool.skewed.de/static/doc/demos/reconstruction_indirect/reconstruction.html
Single line installation:
Anaconda ⤵️
conda create --name gt -c conda-forge graph-tool
Homebrew ⤵️
brew install graph-tool
Debian/Ubuntu ⤵️
apt-get install python3-graph-tool
Gentoo ⤵️
emerge graph-tool
Docker ⤵️
docker pull tiagopeixoto/graph-tool
You can also play it with in colab: https://colab.research.google.com/github/count0/colab-gt/blob/master/colab-gt.ipynb
@networkscience@a.gup.pe
@datascience@a.gup.pe
@python@a.gup.pe
#networks #python #datascience
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Did you know it is possible to install and run @graph_tool@social.skewed.de on Windows via the WSL?
Instructions here:
https://git.skewed.de/count0/graph-tool/-/wikis/installation-instructions#windows
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
The zoom terms of service have been updated to require consent to use your call data for AI training. No opt-out possible.
The near-future of proprietary internet is bleak.
Switch to the free internet. Use #jitsi, #bigbluebutton, etc.
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
@graph_tool@social.skewed.de's documentation has just gotten a facelift!
Besides an overall re-organization, now there's a new and improved quick start guide.
Check it out and tell your friends!
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Did you know that you can easily use @graph_tool@social.skewed.de with Singularity/Apptainer?
Singularity/Apptainer lets you run containers in HPC clusters *as a regular user*.
This means you do not have to ask your sysadmin to install software for you!
Easy instructions: https://git.skewed.de/count0/graph-tool/-/wikis/installation-instructions#installing-using-apptainersingularity-useful-for-hpc-systems
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Did you ever want to try the bleeding edge git version of @graph_tool@social.skewed.de but did not want to compile it? Worry no more!
Git snapshot builds are now made automatically for docker at: https://hub.docker.com/repository/docker/tiagopeixoto/graph-tool-git
As well as Debian/Ubuntu packages here: https://git.skewed.de/count0/graph-tool/-/wikis/installation-instructions#git-snapshots
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Just installed @graph_tool@social.skewed.de on a @Raspberry_Pi@raspberrypi.social using the aarch64 conda package. It's amazing how capable these little things are... Could do SBM inference and visualization with no problems.
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ C3S, Goethe Universität Frankfurt Head of the “Inverse Complexity Lab.” @invcomplexity Author of @graph_tool (https://graph-tool.skewed.de), and @netzschleuder (https://networks.skewed.de). Also on https://bsky.app/profile/tiago.skewed.de #networks #statistics #bayes #datascience #machinelearning #physics
Good news everyone! A new version of graph-tool is just out! @graph_tool@social.skewed.de
@graph_tool@social.skewed.de is a comprehensive and efficient :python: Python library to work with networks, including structural, dynamical and statistical algorithms, as well as visualization.
It uses :cpp: C++ under the hood for the heavy lifting, making it quite fast.
This version includes new features, bug fixes, and improved documentation: https://graph-tool.skewed.de/static/doc/index.html
Single line installation:
Anaconda ⤵️
conda create --name gt -c conda-forge graph-tool
Homebrew ⤵️
brew install graph-tool
Debian/Ubuntu ⤵️
apt-get install python3-graph-tool
Gentoo ⤵️
emerge graph-tool
Docker ⤵️
docker pull tiagopeixoto/graph-tool
@networkscience@a.gup.pe
@datascience@a.gup.pe
@python@a.gup.pe
#networks #python #datascience
