The Why, How, and When of Representations for Complex Systems | SIAM Review
https://epubs.siam.org/doi/10.1137/20M1355896
https://epubs.siam.org/doi/10.1137/20M1355896
SIAM Review
The Why, How, and When of Representations for Complex Systems | SIAM Review
Complex systems, composed at the most basic level of units and their interactions, describe phenomena in a wide variety of domains, from neuroscience to computer science and economics. The wide variety of applications has resulted in two key challenges: the…
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Chaos: Sandpile cascades on oscillator networks: The BTW model meets Kuramoto
https://t.co/JThhS4R4E5
https://t.co/JThhS4R4E5
Call for #PhD student
Interested in using new data sources on human mobility and mosquito surveillance for disease modelling?
📆Deadline: June 17!
👇🏼More info: https://t.co/kMBM9udV8w
Interested in using new data sources on human mobility and mosquito surveillance for disease modelling?
📆Deadline: June 17!
👇🏼More info: https://t.co/kMBM9udV8w
Max Planck Institute for Demographic Research
MPIDR - PhD Student Position
The Max Planck Institute for Demographic Research (MPIDR) in Rostock is one of the leading demographic research centers in the world. At the MPIDR, researchers from all over the world investigate demographic change, aging, fertility, biological demography…
How is the complexity of statistical physics connected to computation and language structure? This is a deep problem. Here's a paper on an elegant formalization that links spin Hamiltonians & the Chomsky's hierarchy https://t.co/SllPLDRevf
Twitter
Ricard Solé
How is the complexity of statistical physics connected to computation and language structure? This is a deep problem. Here's a paper by @Gemma_DLC & colleagues on an elegant formalization that links spin Hamiltonians & the Chomsky's hierarchy arxiv.org/pdf/2006.03529…
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🌐🧑🏫 Geospatial Data Science - new teaching materials: https://t.co/wCKRStKhxu
Twitter
Michael Szell
🌐🧑🏫 Geospatial Data Science - new teaching materials: github.com/mszell/geospat… With @_ane_rv @AnaVybor We remixed & extended materials by: @darribas @tenkahen @Vuoggis @haavardaagesen @gboeing @pysal_devs @robinlovelace @lucpappalard
🚨 What we know & don’t know about #monkeypox, & how to think about the current outbreak.
One thing: It’s unique partly because it’s, er, happening amid a pandemic. Our reactions are deeply influenced by the last 3 years—in good & bad ways...
https://t.co/SvEntsKEd3
One thing: It’s unique partly because it’s, er, happening amid a pandemic. Our reactions are deeply influenced by the last 3 years—in good & bad ways...
https://t.co/SvEntsKEd3
The Atlantic
So, Have You Heard About Monkeypox?
A new viral outbreak is testing whether the world has learned anything from COVID.
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Forwarded from انجمن علمی فیزیک شریف (Ali Ekramian)
⭕️ سمینارهای فیزیک آماری ⭕️
💡 موضوع ارائه: چرا از فواصل موسیقی لذت می‌بریم؟
🗣 ارائه دهنده: علیرضا ولیزاده (دانشگاه تحصیلات تکمیلی علوم پایه‌ی زنجان زنجان)
📅 زمان ارائه: یک‌شنبه ۱ خرداد، ساعت ۱۵:۰۰
🚪 محل برگزاری:
اتاق ۵۱۲ دانشکده‌ی فیزیک
و همزمان در اتاق مجازی گروه فیزیک آماری
💢#اطلاع_رسانی_سمینارهای_دانشکده
💢#سمینار_فیزیک_آماری
💢#دکتر_مقیمی #دکتر_قنبرنژاد #دکتر_روحانی
🆔 @anjoman_elmi_phys_sut
💡 موضوع ارائه: چرا از فواصل موسیقی لذت می‌بریم؟
🗣 ارائه دهنده: علیرضا ولیزاده (دانشگاه تحصیلات تکمیلی علوم پایه‌ی زنجان زنجان)
📅 زمان ارائه: یک‌شنبه ۱ خرداد، ساعت ۱۵:۰۰
🚪 محل برگزاری:
اتاق ۵۱۲ دانشکده‌ی فیزیک
و همزمان در اتاق مجازی گروه فیزیک آماری
💢#اطلاع_رسانی_سمینارهای_دانشکده
💢#سمینار_فیزیک_آماری
💢#دکتر_مقیمی #دکتر_قنبرنژاد #دکتر_روحانی
🆔 @anjoman_elmi_phys_sut
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Concept of #emergence - a well-recognized phenomenon which characterizes complex systems. https://t.co/SKibTGNknq
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What defines complexity? Answer: Emergent properties, i. e. when a system exhibits order at one scale that is irreducible to the properties of its parts. https://t.co/VkkDLHpSxl
Twitter
Ricard Solé
What defines complexity? Answer: Emergent properties, i. e. when a system exhibits order at one scale that is irreducible to the properties of its parts. Here's a whole @RSocPublishing issue edited by @manlius84 & Oriol Artime. A lot of great examples. r…
I am recruiting two fully funded PhD to join my network science research group at the Uni Zurich to work on mathematical methods for networks, complex systems and digitalization. https://t.co/LPYpRAJwaI
Twitter
Alexandre Bovet
Please help circulate: I am recruiting two fully funded PhD to join my network science research group at the Uni Zurich @UZH_Science to work on mathematical methods for networks, complex systems and digitalization with @UZH_dsi More info 👉tinyurl.com/2xdrpac2
Analyzing rankings/orderings is surprisingly hard when data are incomplete or noisy. New letter in Physical Review E addressing these problems, including ordering events in growing networks. https://t.co/Z53r3zWAz1
Physical Review E
Belief propagation for permutations, rankings, and partial orders
Many datasets give partial information about an ordering or ranking by indicating which team won a game, which item a user prefers, or who infected whom. We define a continuous spin system whose Gibbs distribution is the posterior distribution on permutations…
Statistical physics rejects theory of 'two Ukraines'
https://phys.org/news/2022-05-statistical-physics-theory-ukraines.html
https://phys.org/news/2022-05-statistical-physics-theory-ukraines.html
phys.org
Statistical physics rejects theory of 'two Ukraines'
When reading news and analyses of the Russian invasion of Ukraine, researchers in Spain perceived many conflicting messages being transmitted. The most notable one is the theory of "two Ukraines" or the ...
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When is a network tree-like and how does it help in exploring dynamics?
https://youtu.be/PF6lakapOhQ
Konstantin Klemm- IFISC
Tree-like approximation is a computational method commonly used for dynamic properties on quenched finite network realizations, including empirical networks. Percolation cluster sizes, epidemic thresholds, and Ising/Potts partition functions and magnetization are among such properties. That method is exact only when the network is a tree: removal of one inner node leaves the network fragmented, with each fragment again separable in the same way. A generalization of this recursive separation is called tree-decomposition of width k, allowing a set of up to k nodes as a separator in each step. In this talk, I show (i) how to find useful tree-decompositions and (ii) how to employ these to efficiently compute exact properties of the Ising model and other stochastic processes with detailed balance.
https://youtu.be/PF6lakapOhQ
Konstantin Klemm- IFISC
Tree-like approximation is a computational method commonly used for dynamic properties on quenched finite network realizations, including empirical networks. Percolation cluster sizes, epidemic thresholds, and Ising/Potts partition functions and magnetization are among such properties. That method is exact only when the network is a tree: removal of one inner node leaves the network fragmented, with each fragment again separable in the same way. A generalization of this recursive separation is called tree-decomposition of width k, allowing a set of up to k nodes as a separator in each step. In this talk, I show (i) how to find useful tree-decompositions and (ii) how to employ these to efficiently compute exact properties of the Ising model and other stochastic processes with detailed balance.
YouTube
When is a network tree-like and how does it help in exploring dynamics?
- By: Konstantin Klemm
- Affiliation: IFISC
Date: 2021-06-09T114:30:00+00:00
Tree-like approximation is a computational method commonly used for dynamic properties on quenched finite network realizations, including empirical networks. Percolation cluster…
- Affiliation: IFISC
Date: 2021-06-09T114:30:00+00:00
Tree-like approximation is a computational method commonly used for dynamic properties on quenched finite network realizations, including empirical networks. Percolation cluster…
DEADLINE Extended to 5th June! CODATA-RDA Research Data Science Summer School 2022: apply to participate in person or online
https://t.co/TbIceCEKXz
https://t.co/TbIceCEKXz
Quantifying relevance in learning and inference!
seminar tomorrow 2:00 pm CET accompanying their recent review in Physics Reports.
https://t.co/6xfZduvJkx
seminar tomorrow 2:00 pm CET accompanying their recent review in Physics Reports.
https://t.co/6xfZduvJkx
Conference in Yerevan, (Armenia) https://t.co/KRSs6c5uBe Goldenfeld, Koonin, Saakian, Hogeweg, Wolpert, Kaneko, Takeuchi, Kolchinsky and so many other great scholars.
Opening for a #postdoc position at the CPT in Marseille, to work with me on the relations between pedestrian models and contact networks. #sociophysics #complexnetworks More information here: https://t.co/5XP8OKT1Tz
Complex Systems Studies
Disorder in complex systems school for graduate students and postdocs, June 7-17 2022, see https://t.co/lDYvL6BL97 Pascal of Paris Saclay University offers an intensive 2 weeks introduction to the physics of disorder and complex systems.
Introduction to the statistical physics of phase transitions and critical phenomena (lecture notes) - Emmanuel Trizac (LPTMS, Paris-Saclay/CNRS)
School on disorder in complex systems at Institut Pascal (June 2022)
http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022.html
School on disorder in complex systems at Institut Pascal (June 2022)
http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022.html
Order through entropy - Daan Frenkel
Understanding entropic contributions to common ordering transitions is essential for the design of self-assembling systems with addressable complexity
http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022/Frenkel_entropy_2014.pdf
Understanding entropic contributions to common ordering transitions is essential for the design of self-assembling systems with addressable complexity
http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022/Frenkel_entropy_2014.pdf