Very excited to announce next year's #CSHVienna #WinterSchool on the Evolution of Social Complexity!

Apply now and spread the news!

Find out more here: https://t.co/5uYv2ibs4R

#Peter_Turchin #SocialComplexity #DigitalHumanities
#ComputationalScience

If you want to work on an exciting new project about the modelling of shock spreading dynamics in supply chain and financial networks, apply for our new #PhD position #CSHVienna

https://t.co/Ce216BT7Tw?amp=1

📌 مجموعه جلسات «گذر»

🌀 آیا این سیستم، پیچیده است؟
👤 یاسمن عسگری
⏰ چهارشنبه، ۳ شهریورماه؛ ساعت ۱۹ تا ۲۰
🖥 vc.sharif.edu/ch/math-stu

🔍 توضیحات این برنامه را می‌توانید از این‌جا بخوانید.
© @hamband_math_cs
🆔 @Zharfa90

How is mean-field theory used in the study of complex networks?
Mason Porter, Professor, Department of Mathematics, UCLA.

In terms of using mean-field theories (and related types of approximations) in networks, the most common scenario is when studying a dynamical system on a network. My coauthor James Gleeson and I discuss this at length in our tutorial article on dynamical systems on networks. (See also the preprint version.) You may also want to look at one of our research papers (written along with other coauthors) on mean-field theory.

A dynamical system on a network is a very high-dimensional system, and it is desirable (when possible) to approximate it with a lower-dimensional system (ideally a much lower-dimensional system), which should be much easier to understand and which may even be tractable to analysis (e.g., through approximate closed-form expressions for quantities of interest). Mean-field theories are one approach to trying to do this.

How much more do we have to learn from studies here and multiple other countries to institute frequent rapid testing for universities and schools?
https://t.co/4OUamJSAnW

#VirtualComplexity Colloquium. https://t.co/ueEX66sCnt

I'll be supporting 1-2 Government of Ireland #PhD/ #Postdoc Scholarship applications, Deadline 21 Oct; Start Sep 2022. If interested in Computational Social Science and Complex Systems topics that I work on (check website) please get in touch by 3 Sep
https://t.co/uxEHpXKfNE

must read paper and great summarising thread about effective vaccination and screening protocols in schools against COVID-19. The issue is particularly timing with the approaching school season

https://t.co/7yzRZtJJxr?amp=1

#Postdoc (Marseille, France)
Complex networks and spreading phenomena
with Alain Barrat
at Centre de Physique Théorique @CNRS
More details: https://t.co/PWaRx8IoU4

#Postdoc (Paris, France)
Computational modelling of the large-scale spread of respiratory infections

More details: https://t.co/0tFNtSZp8V

If you are interested in Blockchain analysis and modelling from a #ComplexSystems point of view. Great opportunities in Zurich at the #uzh_blockchain👇

The new group #Blockchain and #DistributedLedgerTechnology, has three openings:
1 #postdoc, 2 #PhD positions in Blockchain Analytics, Incentives and #ComplexSystems Modelling.

https://t.co/a7W6WQ2k8c

You may have heard that “period three implies chaos“. Here’s a very readable paper about what that means and why it’s true. The paper actually proves a much stronger result, known as Sharkovsky’s theorem, and tells the remarkable story behind it. https://t.co/lL4Egrdroi

Catch up on the boot camp on Computational Complexity of Statistical Inference, happening live at Calvin Lab this week.

https://t.co/tWx1edy0um