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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💰 From Davide Proment
https://people.uea.ac.uk/d_proment

4-year #PhD studentship at my institution fro the academic year 2020/2021. The position is highly competitive, as there is only one position within my department.
If you are an outstanding student wishing to do a PhD under my supervision on quantum fluids or, in general, nonlinear physics (nonlinear wave interactions, wave turbulence, etc…), please contact me ([email protected]) as soon as possible.
The deadline for submitting the application is on 31 May 2020. More information about the studentship can be found in here https://www.cs.helsinki.fi/u/ahyvarin/software.shtml
https://www.nature.com/articles/s42005-020-0359-6

🕸 نظریه گراف و علم شبکه

نزدیک به ۲۰ ساله که چیزی به اسم نظریه شبکه‌ یا علم شبکه در ادبیات علمی پیدا شده. شاید نزدیک‌ترین یا نام‌آشناترین نظریه به علم شبکه، نظریه گراف در ریاضیات باشه. چیزی که از زمان اویلر (۱۷۳۶) شکل گرفته و در چند قرن اخیر هم همیشه حوزه‌ی پژوهشی برای ریاضیدون‌ها بوده. اما این فقط ظاهر کاره...

ادامه نوشته:
🔗 https://www.sitpor.org/2020/04/graph-theory-networks/

@sitpor
#Netsci2020 will be an online-only conference! Check the announcement below for more details. Highlights:
- 5 days Conference from Sept 21st to Sept 25th
- A few weeks to amend your abstract or submit a new one
- we will host a special #COVID19 session
https://t.co/MtzUtrbwGe
Great Ideas in Theoretical Computer Science

Selected lecture notes

Course Description
This course provides a challenging introduction to some of the central ideas of theoretical computer science. It attempts to present a vision of "computer science beyond computers": that is, CS as a set of mathematical tools for understanding complex systems such as universes and minds. Beginning in antiquity—with Euclid's algorithm and other ancient examples of computational thinking—the course will progress rapidly through propositional logic, Turing machines and computability, finite automata, Gödel's theorems, efficient algorithms and reducibility, NP-completeness, the P versus NP problem, decision trees and other concrete computational models, the power of randomness, cryptography and one-way functions, computational theories of learning, interactive proofs, and quantum computing and the physical limits of computation.

https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-080-great-ideas-in-theoretical-computer-science-spring-2008/index.htm
Latest #coronavirus research:
👉Experimental vaccine prompted strong immune response in monkeys.
👉Lifting lockdown could spell surge of infections for France.
👉A single person who attended choir practice led to infection of more than 50 choir members.

https://t.co/kLL8jPRQh4
💰 #postdoc
DYNASNET Project (ERC Synergy Grant), under supervision of Profs. Laszlo Barabasi and Marton Posfai, to bridge gap between network science & graph theory, start September 2020, based in Budapest.
How to apply:

https://t.co/RfXcJWo7yQ
Interested in a fully-funded #PhD position at the intersection of Social Computing and Artificial Intelligence? Then this call may be for you: https://t.co/vCWvneMImg Apply until June 1st!
نشست یکصدوهفتادوهفتم باشگاه فیزیک تهران، ساعت ۱۷ روز دوشنبه 12 خرداد‌‌ماه 1399، به صورت مجازی در دانشگاه تهران برگزار خواهد شد.

خانم دکتر فاخته قنبرنژاد از دانشکده فیزیک دانشگاه صنعتی شریف در این باشگاه از «مدل‌سازی، پس‌بینی و پیش‌بینی پدیده‌های همه‌گیری» خواهند گفت.

علاقه‌مندان برای شرکت در این باشگاه باید حتما ابتدا فیلم 5 دقیقه‌ای آموزشی نحوه‌ی ثبت‌نام و استفاده از وبینار به نشانی https://bayan.ut.ac.ir/v/EaojD را ببینند، که با محیط آشنا شوند. سپس با مراجعه به نشانی وبینارهای دانشگاه تهران https://webinar.ut.ac.ir/ اقدام به ایجاد حساب کاربری کنند. پس از ایجاد حساب کاربری، نیم ساعت پیش از زمان برگزاری باشگاه با ورود به اتاق وبینار «باشگاه فیزیک» به نشانی https://webinar.ut.ac.ir/b/mas-r2j-92n مراجعه کنند و سیستم خود را چک کنند.

عضویت در #باشگاه_فیزیک و شرکت در جلسات آن برای همه‌ی علاقه‌مندان به علم فیزیک آزاد است.

با احترام
انجمن فیزیک ایران
Forwarded from انجمن علمی فیزیک شریف (Zahra Kabiri)
🧠لیست سخنرانان وبینار مغز و ذهن
📅پنج‌شنبه و جمعه
۱ و۲ ام خرداد ماه
🔗لینک ثبت‌نام :
🔹https://evnd.co/No0rx
🔺همراه با تخفیف دانشجویی

#BrainAwarenessWeek
@Shenasa_Sharif

@anjoman_elmi_phys_sut
«همایش فیزیک و سامانه های اجتماعی»

🔶🔶
سخنرانان:
دکتر سامانی
دانشگاه صنعتی اصفهان
دکتر شهبازی
دانشگاه صنعتی اصفهان
دکتر حسینی
دانشگاه شهیدبهشتی تهران
🔶🔶

⚠️زمان:پنج شنبه 8 خرداد ساعت 17⚠️

علاقه‌مندان می‌توانند با
نام کاربری: physics_ss
و
گذرواژه: pss1399
از طریق لینک زیر در همایش شرکت نمایند:
https://www.skyroom.online/ch/iut_farhangi/physics-ss

هزینه ی ثبت نام:رایگان

منتظر مشارکت شما عزیزان هستیم
@physicsiut

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The Many Faces of Balance: Multilevel Structural Evaluation of Signed Directed Social Networks

Samin Aref, Ly Dinh, Rezvaneh Rezapour, Jana Diesner

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Balance theory explains the forces behind the structure of social systems commonly modeled as static undirected signed networks. We expand the modeling to incorporate directionality of the edges and consider three levels of analysis: triads, subgroups, and the whole network. For triad-level balance, we utilize semicycles that satisfy the condition of transitivity. For subgroup-level balance, we derive measures of cohesiveness (internal solidarity) and divisiveness (external antagonism) to capture balance in subgroups using the most fitting partition of nodes into two groups. For network-level balance, we use the normalized line index which relies on the proportion of edges whose position suits balance. Through extensive computational analysis, we document frequently repeated patterns of social structure in triads, subgroups, and the whole network across a range of social settings from college students and Wikipedia users to philosophers and Bitcoin traders. We then apply our multilevel framework to examine balance in temporal and multilayer networks which demonstrates the generalizability of our approach and leads to new observations on balance with respect to time and layer dimensions. Our complementary findings on a variety of social networks highlight the need to evaluate balance at different levels for which we propose a comprehensive yet parsimonious approach.
Neurolinguistics

This course introduces the key principles and goals of modern neurolinguistics. Neurolinguistics is a science that incorporates methods and paradigms of linguistics and neuroscience.

This course discusses the main units and organizational principles of the human nervous system that underlie our language capacity. You will learn about the neurophysiological aspects of first and second language learning, discover clinical research in speech, reading and writing disorders, and also find out about speech disorders accompanying various psychiatric conditions. The course includes information on the history of neurolinguistics, modern techniques and methods of neurolinguistic research, and also provides detailed examples of several recent studies in the field.