RT @kryssalian@twitter.com

o/ I'm Kryssalian a French pixel artist making loop animations with different durations, so they don't match together 🤓

🐦🔗: twitter.com/kryssalian/status/

We will be offering a limited number of 🚨full scholarships🚨, covering full tuition waiver and housing aid.

The program is hosted by @dnds_ceu@twitter.com at @ceu@twitter.com, in Vienna 🇦🇹, often ranked the most livable city in the world.

Deadlines: Feb. 1, Apr. 12, 2021

Spread the word!

3/3

Show thread

Exciting news! We are announcing a new undergraduate program in Quantitative Social Sciences at @dnds_ceu@twitter.com.

undergraduate.ceu.edu/qss/abou

Our program combines rigorous ("hard sciences"-level) mathematics, statistics, and programming with the pillars of the social sciences. 1/3

New version of graph-tool is out!
graph-tool.skewed.de

(New: graph-tool.skewed.de/static/do)

Single-line install instructions:

Anaconda ⤵️
conda create --name gt -c conda-forge graph-tool

Homebrew ⤵️
brew install graph-tool

Debian/Ubuntu⤵️
apt-get install python3-graph-tool

RT @tiagopeixoto@twitter.com

I'm happy to announce a new project, called Netzschleuder: networks.skewed.de

This is a network data catalogue and repository. It currently contains 257 datasets totaling 3,916 individual networks (94,956 if you include a big @openstreetmap@twitter.com trove).
1/5

🐦🔗: twitter.com/tiagopeixoto/statu

Ok, the Conan sword was cool.

RT @Schwarzenegger@twitter.com

My message to my fellow Americans and friends around the world following this week's attack on the Capitol.

🐦🔗: twitter.com/Schwarzenegger/sta

New on the @arxiv_physics: "Disentangling homophily, community structure and triadic closure in networks", arxiv.org/abs/2101.02510

Homophily/communities and triadic closure (triangles) are conflated properties in network analysis, and this method tells them apart.

New work on the arxiv: "Network reconstruction and community detection from dynamics",
arxiv.org/abs/1903.10833

I show how coupling Bayesian network reconstruction from functional behavior with community detection enhances both tasks simultaneously.

Just out on PRX: "Reconstructing Networks with Unknown and Heterogeneous Errors"

New method can reconstruct networks and provide error estimates for them, even when measurement uncertainties are unknown.

journals.aps.org/prx/abstract/

Code is available as part of graph-tool: graph-tool.skewed.de :gt:

The documentation for the reconstruction code is here: graph-tool.skewed.de/static/do

Each integer is represented in a high-dimensional space, and gets squished down to 2D so that numbers with similar prime factorisations are closer together than those with dissimilar factorisations.

johnhw.github.io/umap_primes/i

Via @svscarpino@twitter.com.

Finally on the arXiv: "Reconstructing networks with unknown and heterogeneous errors" arxiv.org/abs/1806.07956

Did you know you can reconstruct and make error estimates for networks, by making only a single noisy measurement?

Mastodon @ skewed.de

The social network of the future: No ads, no corporate surveillance, ethical design, and decentralization! Own your data with Mastodon!