Pinned toot

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

Pinned toot

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?

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.

"Science starts with a question. Data science starts with the data. What makes data science so hard is that it starts in the wrong place."

Great analogy of scientific protocol with law & order episodes!

Now I can't get the title song out of my head.
simplystatistics.org/2018/08/1

I just discovered that you can get an rss feed of all your toots including replies with

https://<mastodon instance>/@<your username>/with_replies.rss

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

social.skewed.de is one server in the network