💰 #Postdoc Fellow position within the SoBigData++ project at the Department of Network and Data Science at Central European University (DNDS at CEU, Vienna).

Research theme: socioeconomic inequalities, mobility, social networks. This is data-driven research. CEU is an equal opportunity employer. Women and members of minorities are encouraged to apply. Under the supervision of M. Karsai ([email protected]) and J. Kertész ([email protected]) in the Computational Human Dynamics team. Review of the applications starts June 30th and continues until the position is filled.

Starting date: September 1, 2020.

https://www.ceu.edu/job/postdoctoral-fellow-socioeconomic-patterns-network-formation-and-mobility

پیش از این نوشته‌ای منتشر کردم در مورد کتاب فرمول موفقیت باراباشی:
نگاهی به کتاب «فرمول: قوانین جهان‌شمول موفقیت» باراباشی

در پادکست بی‌پلاس، علی بندری خلاصه این کتاب رو تعریف کرد و شما می‌تونید با رفتن به این نشانی این پادکست رو گوش بدین.

اگه با پادکست بی‌پلاس آشنا نیستین، شاید یکی از بهترین‌ زمان‌ها باشه که سراغش برین! توی بی‌پلاس خلاصه کتاب تعریف می‌کنند. این‌جوری که یه کتاب رو بعد از سبک سنگین‌ کردن‌های مختلف انتخابش می‌کنند، حسابی مطالعه‌ش می‌کنند و بعد برای شما ایده‌های اصلیش رو می‌گن که بتونید حسی پیدا کنید در مورد محتوای اون کتاب! خلاصه که از طریق پادگیرهای مختلف خوبه که این پادکست رو گوش کنید. همین‌طور می‌تونید عضو خبرنامه بی‌پلاس بشین و در مورد هر کتاب و نویسنده‌ش، اطلاعات بیشتری کسب کنید.

مثلا در خبرنامه‌ای که این هفته منتشر شد، می‌تونید در مورد کتاب فرمول موفقیت باراباشی و علم شبکه بیشتر بخونید!

💡 "Does Tweeting Improve Citations? One-Year Results from the TSSMN Prospective Randomized Trial"

https://t.co/mHCRZFb2oW

(The answer is "yes", contradicting Betteridge's law.)

📺 https://youtu.be/81h27IdKHoE

FREE summer lecture series! 😱 Join this free and open to the public lecture series where faculty share their perspective on the COVID-19 pandemic.

https://t.co/AU3goKxBXX

ICME Fundamentals of Data Science summer workshops will be offered online this year from August 17-22, 2020. These one-day workshops cover a wide range of topics, from Machine Learning to Programming in Python. For more information, please visit https://t.co/Uo93Uc1INU

Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis, by Roland Molontay and Marcell Nagy https://t.co/ABb7Ra7UC1. The authors define a "network scientist" as someone who has published at least 1 paper that cites at least 1 of the following 3 papers https://t.co/9pySMQh72j

شبیه‌سازی بازی مار و پله در پایتون:

https://jakevdp.github.io/blog/2017/12/18/simulating-chutes-and-ladders/

شبیه سازی آشوب در آونگ سه‌گانه با پایتون:

Triple Pendulum CHAOS!
https://jakevdp.github.io/blog/2017/03/08/triple-pendulum-chaos/

Frequentism and Bayesianism:

5-part series: Part I, Part II, Part III, Part IV, Part V
See also Frequentism and Bayesianism: A Python-driven Primer, a peer-reviewed article partially based on this content.

Conway's Game of Life in Python

In 1970 the British Mathematician John Conway created his "Game of Life" -- a set of rules that mimics the chaotic yet patterned growth of a colony of biological organisms. The "game" takes place on a two-dimensional grid consisting of "living" and "dead" cells, and the rules to step from generation to generation are simple.

I was thinking about classic problems that could be used to demonstrate the effectiveness of Python for computing and visualizing dynamic phenomena, and thought back to a high school course I took where we had an assignment to implement a Game Of Life computation in C++. If only I'd had access to IPython and associated tools back then, my homework assignment would have been a whole lot easier!

Here I'll use Python and NumPy to compute generational steps for the game of life, and use my JSAnimation package to animate the results.

https://jakevdp.github.io/blog/2013/08/07/conways-game-of-life/

〽️آیا از اینکه خوب مفاهیم آمار و احتمال رو متوجه نمی‌شوید، خسته شده‌اید؟ پس این صفحه حتما به دردتون می‌خوره :)


پ ن: واقعا چینی‌ها خوبن، تا یک چیز خوبی درست میشه، سریع به چینی هم ترجمه می‌کنن که مردمانشون استفاده کنن ....


https://seeing-theory.brown.edu/#firstPage

Ellis QPhML 2020

https://ellisqphml.github.io/qphml2020

This conference is a hidden gem on physics & ML with a great lineup. Full of physicists who worked on ML its theory or its quantum aspects for decades.

Crazy fast code for SIR on temporal networks
https://petterhol.me/2018/07/23/crazy-fast-code-for-sir-on-temporal-networks/

Fastest network-SIR code in the East
https://petterhol.me/2018/02/07/fastest-network-sir-code-in-the-east/

Just released a #python porting of multinet library: https://t.co/Ztmv86q3UY Resources (including an example notebook): https://t.co/eKCcumppLN Comments/feedback welcome, code & issues here: https://t.co/aWd8hdq2Yy