Physicists' Recent Top Links

Updated: 2019-Nov-17 14:02 UTC. Listed tweets: 20. Based on tweets of Physicists on Twitter. Feedback: @TrueSciPhi.

Links in tweets originated by physicists in the past 14 days, ordered by retweets-per-follower averaged over each tweet of the link. Below, each link is presented in the context of the particular tweet with the highest retweets per follower.

1. One retweet per 20 followers (average):

Absolutely Amazing

Physicists (!) discover a new fundamental and amazing mathematical fact:

You can get the Eigenvectors of a matrix using ONLY its Eigenvalueshttps://t.co/JsvjySDdWE pic.twitter.com/Mt797mmqDk

— 〈 Berger | Dillon 〉 (@InertialObservr) November 14, 2019

2. One retweet per 22 followers (average):

If you were sceptical of @BestForBritain’s https://t.co/JZdEy3K4q9 site I think you owe it to listen to @Pimlicat on @RemainiacsCast when the next episode goes on general release (Foot in Mouth Disease: Election Week One)

— Edd Edmondson (@eddedmondson) November 7, 2019

3. One retweet per 36 followers (average):

In tears. So little attention is paid to the way homophobia destroys women. And tells us to destroy ourselves. And she listened. And we lost her. And I knew this story was coming. And I am sadder than I thought I would be. https://t.co/n68UWLZ0gn

— 🙅🏽‍♀️ Chanda Prescod-Weinstein 🙅🏽‍♀️ (@IBJIYONGI) November 7, 2019

4. One retweet per 40 followers (average):

El Presidente afirma que en Ciencia se retrocedió; científicos responden con otros datos - https://t.co/HgetDg1clc

— Luis Mochan (@wlmb) November 7, 2019

5. One retweet per 42 followers (average):

I'll be taking part in @newscientist evening lecture series on 27 Nov in London, talking about how we are trying to understand the dark universe! https://t.co/1yZVTntJsQ

— Chamkaur Ghag (@chamkaurghag) November 4, 2019

6. One retweet per 55 followers (average):

Our edited book Temporal Network Theory is out https://t.co/cHKl3MfVi6

People have been looking at temporal networks from slightly different angles, so there are many similar but subtly different methods. Our idea was to bring these together.

— Petter Holme (@pholme) November 3, 2019

7. One retweet per 63 followers (average):

Two postdocs in bsm/astroparticle/cosmo theory at @KCL_Physics please share and apply!!! https://t.co/jgnh9kF0Of

— Malcolm Fairbairn #peoplesvote (@malcfairbairn) November 8, 2019

8. One retweet per 66 followers (average):

Calling all women in @datascience and #ML/#AI in #NYC!
If you're new to @PyTorch and would like to learn more about it, become proficient, and potentially contribute to it, sign up for the intro workshop I'll be teaching Nov 19 with @wimlds @WiMLDS_NYC! https://t.co/gNGLk1b2Zq pic.twitter.com/v41QyreIan

— Michela Paganini (@WonderMicky) November 7, 2019

9. One retweet per 69 followers (average):

Behavior and complex information: tell people the average contribution to a public good and they will cluster around it; tell them the distribution of donations and they will contribute all or nothing. Don't believe it? Check it out! https://t.co/XUmeIRJvUy

— Anxo Sánchez (@anxosan) November 12, 2019

10. One retweet per 72 followers (average):

Dividing by zero on a mechanical calculatorhttps://t.co/hWxXmisvDQ pic.twitter.com/oaBFudLi3V

— 〈 Berger | Dillon 〉 (@InertialObservr) November 15, 2019

11. One retweet per 77 followers (average):

Happy 150th Birthday! This March I was asked by Nature to help design the journal cover for the 150 anniversary. It has a true honor and a fabulous journey, with several wondrous products, all released this week, https://t.co/hNty08YUFD pic.twitter.com/Qv3yvMj9Py

— Albert-László Barabási (@barabasi) November 7, 2019

12. One retweet per 98 followers (average):

Lazcano desmiente las afirmaciones del Presidente sobre la ciencia en Mexico (07/11/19) by Antonio Lazcano | Free Listening on SoundCloud https://t.co/XEgO8JUBmQ

— Luis Mochan (@wlmb) November 8, 2019

13. One retweet per 102 followers (average):

Na lang praten eindelijk iemand die het écht wil in een positie die écht iets kan veranderen en er écht werk van maakt. Chapeau @Rianneletschert! Belangrijk signaal voor de academische wereld. #TeamSciencehttps://t.co/hyZzY6qfHw

— Ivo van Vulpen (@IvovanVulpen) November 13, 2019

14. One retweet per 108 followers (average):

Hoy en @nadaesgratis, @papiteide: "Ojalá un día nuestros políticos conviertan en rutina la evaluación de políticas públicas (y cuando sea posible y beneficioso siguiendo el enfoque experimental) a los programas destinados a mejorar nuestras vidas." https://t.co/ftMDp1rfg9 Ojalá!

— Anxo Sánchez (@anxosan) November 15, 2019

15. One retweet per 110 followers (average):

We have (finally!) expanded our Atlas of Inequality to 9 more cities in the US. You can now check how unequal are the places in Seattle, Dallas, Washington, Miami, LA, San Francisco, Chicago, Detroit and Philadelphia.

👉 https://t.co/CuKmEN2gKo pic.twitter.com/daknNp1eUy

— Esteban Moro (@estebanmoro) November 14, 2019

16. One retweet per 112 followers (average):

Hmm, new #GravitaionalWave candidate #S191110afhttps://t.co/9luTHwJBI2
This is found by an unmodelled burst search, NOT a binary merger search. A new type of source? I will need lots of convincing! Checks currently underway
False alarm rate: 1 per 12 year (meh)
Rating: ❔🌶️ pic.twitter.com/sOa0bpw2AF

— Christopher Berry (@cplberry) November 10, 2019

17. One retweet per 122 followers (average):

Lisans ve master öğrencilerine CERN'de staj imkânı.
İngilizceniz ve temel programlama bilginiz varsa başvuru yapabilirsiniz.
Detaylar için:@CERN https://t.co/BAnm1NogNZ

— Enis Yazıcı (@yazicie) November 4, 2019

18. One retweet per 129 followers (average):

El post de hoy de @LibertadGonLu en @nadaesgratis sobre qué gobierno ha sido más efectivo en reducir el paro en España https://t.co/wd2vYl7cTR es de los de lectura obligatoria para formar el espíritu crítico. No hay respuestas simples para estas preguntas, no las busquéis

— Anxo Sánchez (@anxosan) November 13, 2019

19. One retweet per 134 followers (average):

Early career particle/cosmo theorists: don't miss the opportunity to work with @IBJIYONGI (@UofNH) on #DarkMatter, large scale structure, early universe cosmology, or neutron star theory! She's also has the best collaborators. 😉

Postdoc position: https://t.co/FtG4yujrnT

— Flip Tanedo (@FlipTanedo) November 7, 2019

20. One retweet per 134 followers (average):

In our newest paper we discuss the frontier of simulation-based inference (aka likelihood-free inference) for a broad audience. We identify three main forces driving the frontier including: #ML, active learning, and integration of autodiff and probprog. https://t.co/R6vMUAnaul pic.twitter.com/ZOmCWcNSCl

— Kyle Cranmer (@KyleCranmer) November 6, 2019