At TED2010, mathematics legend Benoit Mandelbrot develops a theme he first discussed at TED in 1984 -- the extreme complexity of roughness, and the way that fractal math can find order within patterns that seem unknowably complicated.

An analysis and infographic of 10,000 porn stars and adult films, revealing what the average adult performer looks like and does on film.

Learn about how dates work in R, and explore the world of if statements, loops, and functions. You'll practice this knowledge using financial examples.

Mathematician Steven Strogatz shows how flocks of creatures (like birds, fireflies and fish) manage to synchronize and act as a unit -- when no one's giving orders. The powerful tendency extends into the realm of objects, too.

If biology is the study of self-replicating entities, and we want to
understand the role of information, it makes sense to see how information theory is connected to the 'replicator equation' - a simple model of population dynamics for self-replicating entities.…

http://www.uvm.edu/~cdanfort/main/266.html

Link to Jim's slides:

http://bagrow.com/pdf/UVM-MATH-266_Intro-Network-Science_Bagrow_2017-04-27.pdf

قسمت اول) مقدمه و معرفی
قسمت دوم) ویژگی ها و تعاریف
قسمت سوم) خم های فضاپرکن و فرکتال های تصادفی
قسمت چهارم) مجموعه ژولیا
قسمت پنجم) مجموعه مندلبرو

http://www.sitpor.org/2017/05/introdoction-to-fractal-geometry/

Barabasi science

The new experiments suggest that simple models can explain the behavior of thousands of interacting organisms.

New research by Perimeter scientists employs artificial intelligence techniques to explore condensed matter and "quantum machine learning."

Dynamics of Voter Models on Simple and Complex Networks














S. Redner, Dynamics of Voter Models on Simple and Complex…

<p>Community detection is an important tool for scientists studying networks, but a new paper published in <em>Science Advances</em> calls into question the common practice of using metadata for ground truth validation.</p>

Network Science

by Albert-László Barabási
Cambridge
475 pp. (2016)
ISBN: : 9781107076266




Reviewed by: Christian Kuehn
…

In one way, Jackson Pollock’s mathematics was ahead of its time. When the reclusive artist poured paint from cans onto vast canvases…

For an empirical science, physics can be remarkably dismissive of some of our most basic observations. We see objects existing in…

The standard view of the mechanisms underlying learning is that they involve strengthening or weakening synaptic connections. Learned response timi...

ICTP colloquium series aims to increase interaction between its research groups as well as expose doctoral students to the Centre's rich array of physics and mathematics activities.