Complex Systems Studies – Telegram
Complex Systems Studies
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What's up in Complexity Science?!
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@ComplexSys

#complexity #complex_systems #networks #network_science

📨 Contact us: @carimi
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Modeling the impact of social distancing, testing, contact tracing and household quarantine on second-wave scenarios of the COVID-19 epidemic
https://t.co/W5QPrgmKln
Interested in #InfectiousDiseases #statistics #modeling?

Check out #SISMID Summer Institute in Statistics and Modeling in Infectious Diseases @UWBiostat - offered online this year!

https://t.co/dz9EGnfJeF
Would you like to become an #highperformancecomputing expert? Would you like to become a #MachineLearning geek?

Join the @mhpc_sissa_ictp master held in Trieste by Sissa and ictp, two amazing scientific institutions! #Science #innovation #MachineLearning #aiforgood

standard #Applications for MHPC 2020/2021 are now open!
Here you can find the link to submit your application: https://t.co/aVPjQkT4bX
Two #PhD Positions in Experimental Condensed Matter Physics (f/m/d)
https://bit.ly/2ylYfIS

JOB DESCRIPTION
(part-time 75%, E 13 TV-L)
Two doctoral positions are available in the research field of superconducting spintronics and superconducting devices for technological applications. The research projects focus on combining superconductor and ferromagnet materials to fabricate electronic devices with high energy efficiency for large data centers and quantum technology applications. The doctoral positions are funded by the Alexander von Humboldt Foundation through a Sofja Kovalevskaja research grant and by the DFG SPP2244 program “2D Materials – Physics of van der Waals [hetero]structures (2DMP)”, respectively. The research has a strong interdisciplinary focus, at the intersection between materials science, condensed matter physics and low-temperature physics. The working language is English.
💰 Applications for the Ph.D. program in Computer Science or Modeling and Data Science at @unito are now open (deadline June 4th).
Feel free to reach out if you need more information. https://t.co/VLAt5ttRlx #phd
The effect of social balance on social fragmentation

Tuan Minh Pham, Imre Kondor, Rudolf Hanel, Stefan Thurner

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With the availability of cell phones, internet, social media etc. the interconnectedness of people within most societies has increased drastically over the past three decades. Across the same timespan, we are observing the phenomenon of increasing levels of fragmentation in society into relatively small and isolated groups that have been termed filter bubbles, or echo chambers. These pose a number of threats to open societies, in particular, a radicalisation in political, social or cultural issues, and a limited access to facts. In this paper we show that these two phenomena might be tightly related. We study a simple stochastic co-evolutionary model of a society of interacting people. People are not only able to update their opinions within their social context, but can also update their social links from collaborative to hostile, and vice versa. The latter is implemented such that social balance is realised. We find that there exists a critical level of interconnectedness, above which society fragments into small sub-communities that are positively linked within and hostile towards other groups. We argue that the existence of a critical communication density is a universal phenomenon in all societies that exhibit social balance. The necessity arises from the underlying mathematical structure of a phase transition phenomenon that is known from the theory of a kind of disordered magnets called spin glasses. We discuss the consequences of this phase transition for social fragmentation in society.
A 2020 Vision of Linear Algebra

These six brief videos, recorded in 2020, contain ideas and suggestions from Professor Strang about the recommended order of topics in teaching and learning linear algebra.

https://ocw.mit.edu/resources/res-18-010-a-2020-vision-of-linear-algebra-spring-2020/index.htm

https://youtu.be/YrHlHbtiSM0
💰 2-year #postdoc in quant. social science for a project on knowledge hierarchies and careers in science:

https://t.co/Fab1olVaix
The postdoc will work at Dept. of Sociology uni copenhagen
Complex Systems Studies
چهارشنبه ساعت ۵/۵ عصر به وقت تهران. http://indico.ictp.it/event/9357/overview Abstract The data science revolution is finally enabling the development of large-scale data-driven models that provide real- or near-real-time forecasts and risk analysis for infectious…
🦠 سخنرانی الساندرو وسپینانی با موضوع «همه‌گیرشناسی محاسباتی در زمان کوید-۱۹» بهترین و جامع‌ترین سخنرانی بود که در مورد مدل‌سازی همه‌گیری کرونا در این مدت دیده‌ام. این سخنرانی برای افراد با پیش‌زمینه‌های علمی متفاوت یقینا سودمند خواهد بود. برای دنبال کردن این سخنرانی، نیازی نیست که حتما دانشمند شبکه یا فیزیکدان باشید! اگر در جایگاه مدیریت و سیاست‌گذاری هم باشید، این ویدیو حرف‌های مهمی برای شما دارد!

🎞 ویدیو ضبط شده:
https://youtu.be/chgW1Kg-GsE
https://www.aparat.com/v/XxIpE

💡 همین‌طور این نوشته که در Nature Reviews Physics منتشر شده به عنوان متن به شدت مرتبط با این سخنرانی رو از دست ندین:

Modelling COVID-19
As the COVID-19 pandemic continues, mathematical epidemiologists share their views on what models reveal about how the disease has spread, the current state of play and what work still needs to be done.

🔗 https://www.nature.com/articles/s42254-020-0178-4
A Network Science Summer Course for High School Students

Florian Klimm, Benjamin F. Maier

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We discuss a two-week summer course on Network Science that we taught for high school pupils. We present the concepts and contents of the course, evaluate them, and make the course material available.
در این کانال مجموعه‌ی بزرگی از ویدیوهای مربوط به یادگیری برنامه‌نویسی و کار با داده وجود داره:

https://www.aparat.com/datasience
Efficient limited-time reachability estimation in temporal networks

Arash Badie-Modiri, Márton Karsai, and Mikko Kivelä

https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.052303

Abstract
Time-limited states characterize many dynamical processes on networks: disease-infected individuals recover after some time, people forget news spreading on social networks, or passengers may not wait forever for a connection. These dynamics can be described as limited-waiting-time processes, and they are particularly important for systems modeled as temporal networks. These processes have been studied via simulations, which is equivalent to repeatedly finding all limited-waiting-time temporal paths from a source node and time. We propose a method yielding an orders-of-magnitude more efficient way of tracking the reachability of such temporal paths. Our method gives simultaneous estimates of the in- or out-reachability (with any chosen waiting-time limit) from every possible starting point and time. It works on very large temporal networks with hundreds of millions of events on current commodity computing hardware. This opens up the possibility to analyze reachability and dynamics of spreading processes on large temporal networks in completely new ways. For example, one can now compute centralities based on global reachability for all events or can find with high probability the infected node and time, which would lead to the largest epidemic outbreak.
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Stochastic Processes: Data Analysis and Computer Simulation

https://www.edx.org/course/stochastic-processes-data-analysis-and-computer-si

The course deals with how to simulate and analyze stochastic processes, in particular the dynamics of small particles diffusing in a fluid.

What you'll learn
Basic Python programming
Basic theories of stochastic processes
Simulation methods for a Brownian particle
Application: analysis of financial data
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Margins!
https://fermatslibrary.com/margins

A free online repository where you can:
- Save and annotate your papers
- Share papers and collaborate with anyone
- Annotate using LaTeX, Code, Markdown and more
💠 مجموعه وبینارهای قرنطینه
🔖 جلسه‌ی دوم: «علوم کامپیوتر نظری: گذشته، حال و آینده»
👤 دکتر امیر دانشگر
📒 چهارشنبه، ۲۴ اردیبهشت‌ماه؛ ساعت ۱۷ تا ۱۹
🔸 جهت شرکت در این جلسه، در زمان برگزاری به‌عنوان مهمان وارد لینک زیر شوید:
vclass.ecourse.sharif.edu/ch/alishahi

© @hamband_math_cs
🆔 @Zharfa90