Network Science is everywhere! And the list is alredy incomplete, missing CEU's fantastic Phd program: http://ow.ly/uXMQ301tHdm. See NU's PhD: http://ow.ly/l0va301hQ3b

کورس‌های جدید complexity explorer:

https://www.complexityexplorer.org/news/47-june-july-update-courses-courses-courses

گروه بین‌دانشگاهی «فیزیک طوری 😊» یک گروه «علمیه» که اعضای اون آدم‌های باحال، با حوصله و کنجکاوی هستند که علم رو به صورت «حرفه‌ای» دنبال می‌کنند.

توی این گروه هر چیزی که به فیزیک و ریاضیات مرتبط باشه فرستاده میشه، همین‌طور حواسمون هست موضوعاتی که «منبع موثقی» ندارند و یا مطالبی که تحت عنوان «شبه‌علم» طبقه‌بندی میشند رو به اشتراک نذاریم.

بنابراین ما اینجا دور هم جمع شدیم تا از امکاناتی که تلگرام برامون به ارمغان اورده به توسعه‌ی علممون کمک کنیم، کلی چیز یادیگیریم و از یادگیریمون لذت ببریم.


لینک گروه «فیزیک‌طوری😊»:
https://telegram.me/joinchat/BBtzwD0S6ff2F8Rz9eBJ6Q

لطفا این لینک رو‌ برای هر کس که می‌فرستید، قبلش از شرایط و سیاست‌های گروه آگاهش کنید. ما دوست‌داریم کسایی که حضور و فعالیتشون به گروه کمک می‌کنه در گروه حضور پیدا کنند.

راستی، ترجیح ما اینه که بحث‌های خیلی طولانی در گروه نداشته باشیم. در صورت نیاز و علاقه، مباحث بحث‌برانگیز رو می‌تونید به گروه «بحث فیزیک‌طوری 🎓» منتقل کنید:
https://telegram.me/joinchat/A0ATzD5lub60apbedf_1vA

Interdisciplinary research has consistently lower funding success



http://www.nature.com/nature/journal/v534/n7609/full/nature18315.html

Introduction to Dynamical Systems and Chaos (Summer, 2016)

Lead instructor: David Feldman



https://www.complexityexplorer.org/courses/61-introduction-to-dynamical-systems-and-chaos-summer-2016/enrollment/new

#Butterfly_effect

The "butterfly effect" is a common way to describe the sensitivity to initial conditions in a #chaotic system. It is a reference to the frequently used metaphor of a butterfly flapping its wings somewhere in the world and then much later a typhoon developing at another location as a distant, but direct, result of this.

Complex networks: Structure and dynamics:

https://www.sciencedirect.com/science/article/pii/S037015730500462X?np=y

Abstract

Coupled biological and chemical systems, neural networks, social interacting species, the Internet and the World Wide Web, are only a few examples of systems composed by a large number of highly interconnected dynamical units. The first approach to capture the global properties of such systems is to model them as graphs whose nodes represent the dynamical units, and whose links stand for the interactions between them. On the one hand, scientists have to cope with structural issues, such as characterizing the topology of a complex wiring architecture, revealing the unifying principles that are at the basis of real networks, and developing models to mimic the growth of a network and reproduce its structural properties. On the other hand, many relevant questions arise when studying complex networks’ dynamics, such as learning how a large ensemble of dynamical systems that interact through a complex wiring topology can behave collectively. We review the major concepts and results recently achieved in the study of the structure and dynamics of complex networks, and summarize the relevant applications of these ideas in many different disciplines, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.

https://www.complexityexplorer.org/courses/61-introduction-to-dynamical-systems-and-chaos-summer-2016

این‌ کورس شروع شد.

http://www.santafe.edu/education/schools/complex-systems-summer-schools/

مثل اینکه امسال همه می‌تونند شرکت کنند.

What is graph-tool?

Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Contrary to most other python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of templatemetaprogramming, based heavily on theBoost Graph Library. This confers it a level of performance that is comparable (both in memory usage and computation time) to that of a pure C/C++ library.



https://graph-tool.skewed.de/