🎓 The Institute for Advanced Study IAS, Universiteit van Amsterdam, offers 10 outstanding MSc. students the opportunity to join the IAS research community for their MSc. thesis. This will form an inspiring working environment for your #complexity/#interdisciplinary project. Apply by Nov. 1! https://t.co/bWalkVynz1
ias.uva.nl
Call for excellent students to join the IAS research community! - Institute for Advanced Study IAS - University of Amsterdam
The Institute for Advanced Study (IAS) of the University of Amsterdam (UvA) offers 10 outstanding students the opportunity to join the IAS research community. You will get a place to work on your final thesis in a stimulating environment alongside renowned…
IFISC offers several Ph.D. positions to start by the end of 2018. Applications are welcome immediately until September 21.
t.co/LFxe2EgggI
t.co/LFxe2EgggI
🔖 Balance in signed networks
Alec Kirkley, George T. Cantwell, M. E. J. Newman
🔗 Download
📌 ABSTRACT
We consider signed networks in which connections or edges can be either positive (friendship, trust, alliance) or negative (dislike, distrust, conflict). Early literature in graph theory theorized that such networks should display "structural balance," meaning that certain configurations of positive and negative edges are favored and others are disfavored. Here we propose two measures of balance in signed networks based on the established notions of weak and strong balance, and compare their performance on a range of tasks with each other and with previously proposed measures. In particular, we ask whether real-world signed networks are significantly balanced by these measures compared to an appropriate null model, finding that indeed they are, by all the measures studied. We also test our ability to predict unknown signs in otherwise known networks by maximizing balance. In a series of cross-validation tests we find that our measures are able to predict signs substantially better than chance.
Alec Kirkley, George T. Cantwell, M. E. J. Newman
🔗 Download
📌 ABSTRACT
We consider signed networks in which connections or edges can be either positive (friendship, trust, alliance) or negative (dislike, distrust, conflict). Early literature in graph theory theorized that such networks should display "structural balance," meaning that certain configurations of positive and negative edges are favored and others are disfavored. Here we propose two measures of balance in signed networks based on the established notions of weak and strong balance, and compare their performance on a range of tasks with each other and with previously proposed measures. In particular, we ask whether real-world signed networks are significantly balanced by these measures compared to an appropriate null model, finding that indeed they are, by all the measures studied. We also test our ability to predict unknown signs in otherwise known networks by maximizing balance. In a series of cross-validation tests we find that our measures are able to predict signs substantially better than chance.
💡 Five book recommendations on a complex financial systems, curated by SFI External Prof AndrewWLo
https://fivebooks.com/best-books/finance-andrew-lo/
https://fivebooks.com/best-books/finance-andrew-lo/
Five Books
Five Books: The Best Finance Books, recommended by Andrew W Lo
The best finance books, as recommended by MIT professor and author of 'Adaptive Markets', Andrew W Lo.
🎬 The Math That Predicted the Arab Spring - VICE Video: Documentaries, Films, News Videos
https://video.vice.com/en_us/video/motherboard-math-physics-predicted-arab-spring/58ffac792539226a16ed65a6
https://video.vice.com/en_us/video/motherboard-math-physics-predicted-arab-spring/58ffac792539226a16ed65a6
Video
The Math That Predicted the Arab Spring
Motherboard talks to Yaneer Bar Yam, founder of the New England Complex Systems Institute who used new physics based math to explain the correlation between food supply and the Arab Spring.
📝 “it wasn’t until the past two decades that we finally had enough data, powerful computers and sophisticated mathematical algorithms to develop quantitative theories of human social interactions”
🌐 https://blogs.wsj.com/cio/2018/09/14/social-physics-reinventing-analytics-to-better-predict-human-behaviors/
🎲 @ComplexSys
🌐 https://blogs.wsj.com/cio/2018/09/14/social-physics-reinventing-analytics-to-better-predict-human-behaviors/
🎲 @ComplexSys
WSJ
Social Physics: Reinventing Analytics to Better Predict Human Behaviors
By analyzing the 'digital bread crumbs' left by people in their day-to-day interactions, scientists are developing quantitative theories of human social interactions. "We were now able to reliably predict how large groups of people make decisions by analyzing…
📝 Even in the age of the internet, distance matters immensely in determining whom — and, as a result, what — we know.
🌐 https://www.nytimes.com/interactive/2018/09/19/upshot/facebook-county-friendships.html
🎲 @ComplexSys
🌐 https://www.nytimes.com/interactive/2018/09/19/upshot/facebook-county-friendships.html
🎲 @ComplexSys
Nytimes
How Connected Is Your Community to Everywhere Else in America? (Published 2018)
A remarkably detailed look at America’s social lives online
🌀 This series of Jupyter Notebooks is a VERY nice step-by-step introduction to data science and machine learning. If you're just starting out - I recommend walking through these notebooks as a first primer
Definitely a great #100DaysOfMLCode project
https://t.co/RA7c8jg1Yk
Definitely a great #100DaysOfMLCode project
https://t.co/RA7c8jg1Yk
GitHub
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource - rasbt/python-machine-learning-book-2nd-edition
〽️ Complexity and the City
The workshop is the 13th of a series of tutorial workshops annually organized to explore the emergence of new research fields in which modeling, analysis and control of nonlinear and complex systems play a role of growing importance. These workshops have been traditionally devoted to an interdisciplinary audience with particular attention to PhD students and young researchers. The theme of this year is “Complexity and The City” with a unique focus on interactions, mobility, epidemics, information and misinformation spreading, and many other complex phenomena occurring in urban environments.
🌐 https://complexcity.polito.it/
🎲 @ComplexSys
The workshop is the 13th of a series of tutorial workshops annually organized to explore the emergence of new research fields in which modeling, analysis and control of nonlinear and complex systems play a role of growing importance. These workshops have been traditionally devoted to an interdisciplinary audience with particular attention to PhD students and young researchers. The theme of this year is “Complexity and The City” with a unique focus on interactions, mobility, epidemics, information and misinformation spreading, and many other complex phenomena occurring in urban environments.
🌐 https://complexcity.polito.it/
🎲 @ComplexSys
Nonlinear Dynamics: Mathematical and Computational Approaches : 🌐 yon.ir/c5Fvs
Introduction to Dynamical Systems and Chaos: 🌐 yon.ir/woARN
🎲 @ComplexSys
Introduction to Dynamical Systems and Chaos: 🌐 yon.ir/woARN
🎲 @ComplexSys
⭕️ برای مشاهده ویدیوهای یوتیوب (بدون نیاز به پروکسی یا VPN) میتونید از سایت زیر استفاده کنید. برای دانشجویان دانشگاه شریف، این سرویس رایگانه و از حجم اینترنتشون کم نمیشه!
https://www.dideo.ir/
https://www.dideo.ir/
Forwarded from انجمن علمی ژرفا
☕️ #چای_و_فیزیک شش ساله شد!
🏵 این ترم برای ششمین سال متوالیِ برگزاری #چای_و_فیزیک، در کنار فیزیکدانان حال و آینده (!) چای مینوشیم و دربارهی پدیدههای فیزیکیِ دور و برمان گفتوگو میکنیم.
☘️ به احترام محیط زیست، لیوان شخصی همراه بیاورید.
🕰 دوشنبهها، ساعت 17 تا 18:30
🚪 اتاق 625 دانشکده فیزیک
🆔 @Zharfa90
🆔 @anjoman_elmi_phys_sut
🏵 این ترم برای ششمین سال متوالیِ برگزاری #چای_و_فیزیک، در کنار فیزیکدانان حال و آینده (!) چای مینوشیم و دربارهی پدیدههای فیزیکیِ دور و برمان گفتوگو میکنیم.
☘️ به احترام محیط زیست، لیوان شخصی همراه بیاورید.
🕰 دوشنبهها، ساعت 17 تا 18:30
🚪 اتاق 625 دانشکده فیزیک
🆔 @Zharfa90
🆔 @anjoman_elmi_phys_sut