Who talks about what? In this article we compare the information treatment in traditional media to the attention paid online by followers of different media rdcu.be/c638q Just out in @SciReports!
A god named Cthulhu rose
From the depths with a mighty glose
With tentacles and a beak
He caused quite a unique
Traffic jam in the city of R'lyeh, I suppose.
In this study, @AraluHernandez et al. take a numerical approach and extend the Deffuant model to hypergraphs of different topology, and show how introducing higher order interactions affects the phase transition to consensus. @surt91nature.com/articles/s42005-0…
Our paper generalizing the Deffuant model to hypergraphs, with @surt91 is out in @CommsPhys. We show that high order interactions destroy the phase transition in random hypergraphs while preserving it in regular hypergraphs.
rdcu.be/cF4ba
Wie sich das Machine-Learning-Ökosystem von Python verwenden lässt, um Reinforcement Learning auf ein in Java implementiertes System anzuwenden, erklärt dieser Blogpost von Hendrick: cclnk.de/30mvmK4#machinelearning#python#java
When network bridges foster consensus. Bounded confidence models in networked societies, Hendrik Schawe (@surt91), Sylvain Fontaine, and Laura Hernández (@aralu69372938) @UniversiteCergy#networksgo.aps.org/3cGH7hY
The bridges to consensus: unveiling the mechanisms of opinion formation on networked societies. (arXiv:2102.10910v1 [physics.soc-ph]) arxiv.org/abs/2102.10910
Profile background colors of random Twitter accounts. The two most common colors #f5f8fa and #c0deed are filtered out to make this image more visually interesting.