Top Tweets for #CESConf2018
I wrote a little thing :)) Read about my @2018_ces experience at this edition of Cultured Scene! #PhDchat #phdlife #CESconf2018
The new edition of Cultured Scene is out now! https://t.co/vv3iwvV2Yv
My current favorite graphs, using four waves of @ESS_Survey data to show how attitudes toward following rules and proper behavior change differently for Israeli Arabs and Jews. Clearly the two items should be considered separately! Normativity is complicated! #CESConf2018
What is the Cultural Evolution Society and how is Cultural Evolution Theory influencing the research performed by BranchPattern? @MarcelHarmon1 #CESConf2018 @2018_CES #ImprovingLife https://t.co/ng4atFAEWc
Still only barely over the jet lag from #CESConf2018, and heading out to teach my grad seminar on #cultevo. Feels a bit strange, really.
Last but not least, @LeonidTiokhin gave one of my favourite talks - one of the rare mentions of metascience/open science demonstrating potentially even more reason to start preregistering! Watch this space! #osf #metascience #preregistration #CESconf2018 ππΌ
After following all the great exchanges of #CESConf2018 I went back and read this article I wrote about what we created the @CulturalEvolSoc and @evolvingfutures to do... as we actively guide the evolution of the cultural sciences. Seems we are on track!
https://t.co/f5jBS0yZbq
Hahahahaha this is hilarious πππ Thank you @bonobo_style for the funny analogy, you made my day!! #CESConf2018
@tmwaring @camrobjones Red team reporting here (slightly jet-lagged though)! We will prevail, under our Queen @Limor_Raviv of the house @MPI_NL, the First of her Name, the Queen of #CesConf2018 Connectivity, Breaker of Artificial Languages and Mother of Social Networks! @2018_ces
Heard many amazing talks at #CESConf2018 , many things to follow up. But the talk that most inspired me was @DrNathanNunn 's plenary on the after effects of slavery. And it ties so nicely with my current obsession with @yudapearl 's work on causality. Amazing work.
Niche diversity may also diversify your personality! Cool model presented by @psmaldino - check out the preprint! #CESConf2018
@tmwaring @camrobjones Red team reporting here (slightly jet-lagged though)! We will prevail, under our Queen @Limor_Raviv of the house @MPI_NL, the First of her Name, the Queen of #CesConf2018 Connectivity, Breaker of Artificial Languages and Mother of Social Networks! @2018_ces
A great talk by a truly inspiring speaker. Nathanβs work is important, elegant & insightful. His way to convey his ideas to a diverse audience while simultaneously throwing light jabs at the economic profession is among my personal top moments of this year #cesconf2018 @2018_ces
Had an amazing time at this year's #cesconf2018. Saw tons of great inspiring research and met so many amazing scholars. -- I've posted slides from my plenary just in case anyone interested: https://t.co/oai8a9VQPu
I loved the use of bears for @smollamarco βs wonderful model of dynamic social networks and their cultural dynamics #CESconf2018
Delayed #CESconf2018 tweeting (correct me if Iβve misremembered some..!) @billdthompson gave a great talk bridging the two schools and framing cumulative cultural evolution as computation ...
All you #CESconf2018 @2018_ces folk studying prestige, check out this v useful review! @rewberl et al?
Nearly real-time Social Network analysis of the #CESConf2018. Nice work @camrobjones! Main result: I'm a purple circle!
Here's our #CESConf2018 network plotted using VOS_viewer. Thanks again to @MasYoungblood for pointing this and other resources out! Link strength/clustering based on no. of 'favouriting' interactions
Finally, #CESConf2018 appear to be a very reciprocal society. The # of tweets each user 'favourites' and has 'favorited' closely related (r=0.73). Moreover, users were 41x more likely to favourite a tweet by someone who favourited one of their own tweets during the conference.
Here's our #CESConf2018 network plotted using VOS_viewer. Thanks again to @MasYoungblood for pointing this and other resources out! Link strength/clustering based on no. of 'favouriting' interactions
We appear to be a relatively scale-free network,
if a little too exponential?
Network boffins @amirgoldb, @evogom, @limor_raviv might have better terminology/explanations for this? #CESConf2018
Had an amazing time at this year's #cesconf2018. Saw tons of great inspiring research and met so many amazing scholars. -- I've posted slides from my plenary just in case anyone interested: https://t.co/oai8a9VQPu
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