Complex Systems Studies – Telegram
Complex Systems Studies
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What's up in Complexity Science?!
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#complexity #complex_systems #networks #network_science

📨 Contact us: @carimi
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‘A divisive disease” .
https://t.co/4Z7x9sRaaL
#Networks2021 session on advances in #multilayer #network analysis. Abstract submission open until Jan 24

https://networks2021.net/program
Apply now for the Spring College on the Physics of Complex Systems: https://t.co/eoXGuCUTdT

#ComplexSystems
An ICTP Virtual Meeting:

Starts 22 Feb 2021
Ends 19 Mar 2021

http://indico.ictp.it/event/9442/
🗺 جهان کوچک ما:
https://rastaiha.ir/article/13
کنفرانس فیزیک اقتصاد و اقتصاد پیچیدگی

⭕️ ۱۳ و ۱۴ اسفندماه ۱۳۹۹
دانشگاه شهید بهشتی و انجمن مالی ایران (مجازی)

مهلت ارسال مقالات: ۹ بهمن‌ماه ۱۳۹۹

ثبت‌نام و اطلاعات بیشتر:
http://complexityeconomics.ir


@EconophysicsConf
______________________________
#کنفرانس #سیستم_های_پیچیده
@sbu_physics
Apply now for the 20th International Workshop on #ComputationalPhysics and #MaterialsScience: Total Energy and Force Methods.

📌 Deadline for applications with Talks and/or Posters: 15 January 2021

📌 Deadline for other applications: 7 February 2021

https://t.co/Q1VQhLui8M
Complexity meets criticality

شنبه ۱۳ دی ماه؛ ساعت ۱۶

🔴 لینک ورود به GoogleMeet

🔸 لطفا هنگام ورود دوربین و میکروفون خود را خاموش نمایید.
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#سمینار_هفتگی
@sbu_physics
Forwarded from Complex Networks (SBU)
Lifetime of links influences the evolution towards structural balance

S.Arabzadeh, M.Sherafati, F.Atyabi, G.R.Jafari, K.Kułakowski

https://www.sciencedirect.com/science/article/abs/pii/S0378437120309870?dgcid=coauthor

Abstract
A fully connected network is investigated with signed (friendly or hostile) links. We consider a time evolution which drives the network to a structurally balanced state. Usually a hypothesis is made tacitly that the states of links can be permanent. However in real networks these states can fluctuate. In this paper, we assign a lifetime to each link. When a link age exceeds its lifetime, its sign is substituted by a random value
and its age is set to zero. Then, two asymptotic behaviors are observed. When the lifetime is large, the system is balanced with only small fluctuations. When the lifetime is short, the system fluctuates randomly, far from the balanced state. A crossover is observed between these two regimes. The age distribution of the links depends on the lifetime. The results are discussed in the context of data on selected conflicts between political actors in Europe and the Middle East in the XX century.
💰 We are looking for a #PhD student at the exciting frontier of collective behavior and #complexity science @CSHVienna

See attached flyer for some details https://t.co/r1N9BkcoFR.

Full details here: https://t.co/esLAwm1Imq.
Forwarded from Complex Networks (SBU)
وبینار هفتگی دانشکده. امروز ۱۳ دی ساعت ۱۶:۳۰ ‌‌‌‎
*Complexity meets criticality*

سخنران: آقای دکتر افشین منتخب
دانشکده فیزیک، دانشگاه شیراز

میزبان: آقای دکتر جعفری
لینک وبینار: https://meet.google.com/pwg-otbe-gzm
🦠 Non-pharmaceutical interventions during the COVID-19 pandemic: a rapid review

Nicola Perra

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Infectious diseases and human behavior are intertwined. On one side, our movements and interactions are the engines of transmission. On the other, the unfolding of viruses might induce changes to our daily activities. While intuitive, our understanding of such feedback loop is still limited. Before COVID-19 the literature on the subject was mainly theoretical and largely missed validation. The main issue was the lack of empirical data capturing behavioral change induced by diseases. Things have dramatically changed in 2020. Non-pharmaceutical interventions (NPIs) have been the key weapon against the SARS-CoV-2 virus and affected virtually any societal process. Travels bans, events cancellation, social distancing, curfews, and lockdowns have become unfortunately very familiar. The scale of the emergency, the ease of survey as well as crowdsourcing deployment guaranteed by the latest technology, several Data for Good programs developed by tech giants, major mobile phone providers, and other companies have allowed unprecedented access to data describing behavioral changes induced by the pandemic. Here, I aim to review some of the vast literature written on the subject of NPIs during the COVID-19 pandemic. In doing so, I analyze 347 articles written by more than 2518 of authors in the last 12 months. While the large majority of the sample was obtained by querying PubMed, it includes also a hand-curated list. Considering the focus, and methodology I have classified the sample into seven main categories: epidemic models, surveys, comments/perspectives, papers aiming to quantify the effects of NPIs, reviews, articles using data proxies to measure NPIs, and publicly available datasets describing NPIs. I summarize the methodology, data used, findings of the articles in each category and provide an outlook highlighting future challenges as well as opportunitie.