Interested in temporal networks and community detection. We have a #postdoc opening in Oxford: https://t.co/oqjwhwomuI

This PrimeView highlights best practices for psychometric network analysis. Network topology types are discussed in relation to the type of data being collected.

Free to access this week!

https://t.co/bITBmeP4zK

We have an opening here at #UM_IDS for a #postdoc researcher in the area of computational social science and network science under the supervision of Prof. Adriana Iamnitchi.
Deadline Sept 19, 2021 (Int. Talk Like A Pirate Day)

https://t.co/KGZPzoDGho

On the importance of being critical
Matteo Marsili

Being critical, i.e. able to process and distill relevant information, is crucial for living systems. Learning distinguishes living from inanimate matter. Quantifying this distinction may provide a “life meter” [1] that, for example, can allow us to detect alien life forms in astrobiology. Living systems also respond in an anomalous manner to perturbations, as compared to inanimate matter, unless the latter is poised at a critical state (in the statistical physics sense). I argue below that these two notions of criticality are only apparently different, because a system that learns is inherently critical, also in the statistical physics sense.

https://www.instagram.com/tv/CSw-co0FmqR/

خوشحالیم اعلام کنیم که یه گفتگوی فانوسی عجیب در راهه! ای علاقمندان به علم، مخصوصا فیزیک، علوم #اعصاب و #هوش_مصنوعی ! کمربند ها رُ ببندید که قراره سفری به یکی از مرموز ترین، جذاب ترین و شاید ناشناخته ترین جنبه های این #علوم داشته باشیم.
اون هم از زبان کسی که حضورش برای ما خیلی خیلی ارزشمنده. چرا؟ فعلا فقط همین معرفی رُ ببینید! ❤️

#علم #پادکست #تکنولوژی
#science #podcast #technology #artificial_intelligence #neuroscience

@fanoospodcast

🎬 ویدیوهای ۲۵امین گردهمایی انجمن علمی ژرفا با موضوع سیستم‌های پیچیده:


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🧬 پیچیدگی زیستی: در جستجوی تصویری واقع‌بینانه از ژنوتیپ و شایستگی - دکتر عطا کالیراد
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میز گفت‌وگو درباره‌ی سیستم‌های پیچیده
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🔺 ۲۵امین گردهمایی انجمن علمی ژرفا با موضوع سیستم‌های پیچیده با همکاری انجمن‌های علمی فیزیک، همبند، شناسا از دانشگاه صنعتی شریف و مرکز شبکه‌های پیچیده و علم دادهٔ اجتماعی دانشگاه شهید بهشتی در تاریخ ۲۴ام اردیبهشت ماه سال ۱۳۹۸ برگزار شد.

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