📌 علاقمندان جهت ثبت نام در این همایش، رزومه خود را به نشانی زیر ارسال کنند:

ut.tcns2018@gmail.com

💭 So many great mathematicians, from Archimedes, Bernoulli, Lagrange, to Pontryagin and Lions have put their stamp on "optimization" and "optimal control" problems. Here is a great summary.

www.unige.ch/~gander/Preprints/LagrangeTalk.pdf

✅ When mathematicians write a review on statistical physics theories it gets pretty exciting:

🔗 arxiv.org/pdf/1803.11132.pdf

🎞 Machine Learning Summer School 2017 Tübingen
Max Planck Institute for Intelligent Systems

33 Videos:
https://www.youtube.com/watch?v=XLHB-Aktxw0&list=PLqJm7Rc5-EXFUOvoYCdKikfck8YeUCnl9

🔸 An Introduction to Graphical Lasso
Bo Chang
Graphical Models Reading Group
May 15, 2015

Slides:
https://www.stat.ubc.ca/~bchang/gmrg/files/Bo_05152015.pdf

#سمینار_عمومی این هفته
Atoms in Molecular/Crystals From Being to Interacting

-۳شنبه ۲۱ فروردین؛ ساعت ۱۵:۱۵
-تالار ابن هیثم، دانشکده فیزیک

کانال انجمن علمی دانشجویی فیزیک
@sbu_physics

🔸 https://www.nature.com/articles/d41586-018-03920-z?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf186386683=1

🚙 https://www.nature.com/articles/d41586-018-04158-5?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf186386629=1

Seventh International Conference on Complex Networks & Their Applications
Submission deadline: September 04, 2018

https://www.complexnetworks.org/

Success in books: a big data approach to bestsellers

Burcu Yucesoy ,XindiWang , Junming Huang and Albert-László Barabási

https://link.springer.com/content/pdf/10.1140%2Fepjds%2Fs13688-018-0135-y.pdf

🔖 From Bitcoin to Bitcoin Cash: a network analysis

Marco Alberto Javarone, Craig Steven Wright

🔗 arxiv.org/pdf/1804.02350v1.pdf

In the last years, Bitcoins and Blockchain technologies are gathering a wide attention from different scientific communities. Notably, thanks to widespread industrial applications and to the continuous introduction of cryptocurrencies, even the public opinion is increasing its attention towards this field. The underlying structure of these technologies constitutes one of their core concepts. In particular, they are based on peer-to-peer networks. Accordingly, all nodes lay at the same level, so that there is no place for privileged actors as, for instance, banking institutions in classical financial networks. In this work, we perform a preliminary investigation on two networks, i.e. the Bitcoin network and the Bitcoin Cash network. Notably, we aim to analyze their global structure and to evaluate if they are provided with a small-world behavior. Results suggest that the principle known as 'fittest-gets-richer', combined with a continuous increasing of connections, might constitute the mechanism leading these networks to reach their current structure. In addition, further observations open the way to new investigations into this direction.

🔖 Multilayer Networks in a Nutshell

Alberto Aleta, Yamir Moreno

https://arxiv.org/pdf/1804.03488

Complex systems are characterized by many interacting units that give rise to emergent behavior. A particularly advantageous way to study these systems is through the analysis of the networks that encode the interactions among the system's constituents. During the last two decades, network science has provided many insights in natural, social, biological and technological systems. However, real systems are more often than not interconnected, with many interdependencies that are not properly captured by single layer networks. To account for this source of complexity, a more general framework, in which different networks evolve or interact with each other, is needed. These are known as multilayer networks. Here we provide an overview of the basic methodology used to describe multilayer systems as well as of some representative dynamical processes that take place on top of them. We round off the review with a summary of several applications in diverse fields of science.

🐆 https://softbites.org/2018/04/11/how-the-leopard-got-its-spots/amp/?__twitter_impression=true

🔖 Finite-time scaling in local bifurcations

Alvaro Corral, Lluis Alseda, Josep Sardanyes

https://arxiv.org/pdf/1804.03711

Finite-size scaling is a key tool in statistical physics, used to infer critical behavior in finite systems. Here we use the analogous concept of finite-time scaling to describe the bifurcation diagram at finite times in discrete dynamical systems. We analytically derive finite-time scaling laws for two ubiquitous transitions given by the transcritical and the saddle-node bifurcation, obtaining exact expressions for the critical exponents and scaling functions. One of the scaling laws, corresponding to the distance of the dynamical variable to the attractor, turns out to be universal. Our work establishes a new connection between thermodynamic phase transitions and bifurcations in low-dimensional dynamical systems, and opens new avenues to identify the nature of dynamical shifts in systems for which only short time series are available.

People still post short tweets even when they have 280 characters!
Also constraint increase quality!
Great analysis
https://t.co/e81mUaIw4Z https://t.co/XZHT87Fr5G

شاخه دانشجویی شریف برگزار می کند:
کارگاه آموزشی یادگیری ماشین با استفاده از زبان R
اطلاعات بیشتر در @IEEESharifSB

فرم ثبت نام اولیه کارگاه یادگیری ماشین با استفاده از R:

https://goo.gl/forms/v6lRK8xgGEZA322x2

#سمینار_عمومی این هفته
حیات چیست؟ تکامل نظم از بی نظمی

- ۳شنبه ۲۸ فروردین؛ ساعت ۱۵:۱۵
- تالار ابن هیثم، دانشکده فیزیک

کانال انجمن علمی دانشجویی فیزیک
@sbu_physics

🔖 Social Physics: Uncovering Human Behaviour from Communication

Kunal Bhattacharya, Kimmo Kaski

https://arxiv.org/pdf/1804.04907

In the post year 2000 era the technologies that facilitate human communication have rapidly multiplied. While the adoption of these technologies has hugely impacted the behaviour and sociality of people, specifically in urban but also in rural environments, their "digital footprints" on different data bases have become an active area of research. The existence and accessibility of such large population-level datasets, has allowed scientists to study and model innate human tendencies and social patterns in an unprecedented way that complements traditional research approaches like questionnaire studies. In this review we focus on data analytics and modelling research - we call Social Physics - as it has been carried out using the mobile phone data sets to get insight into the various aspects of human sociality, burstiness in communication, mobility patterns, and daily rhythms.