💉 Competition between vaccination and disease spreading. (arXiv:2001.11293v1 [physics.soc-ph])
https://t.co/ALrqqTlNxt
https://t.co/ALrqqTlNxt
A #Python library that helps data scientists to infer causation rather than observing correlation. #causality
https://causalnex.readthedocs.io/en/latest/
https://causalnex.readthedocs.io/en/latest/
Forwarded from Complex Networks (SBU)
book_chapter_10.pdf
20.7 MB
ALBERT-LÁSZLÓ BARABÁSI
NETWORK SCIENCE
Ch 10) SPREADING PHENOMENA
💉 اکنون که ویروس کرونا در حال فتح قارههای مختلف دنیا است، خوب است نگاهی کنیم به مدلهای ساده توصیف کننده همهگیری در علم شبکه.
NETWORK SCIENCE
Ch 10) SPREADING PHENOMENA
💉 اکنون که ویروس کرونا در حال فتح قارههای مختلف دنیا است، خوب است نگاهی کنیم به مدلهای ساده توصیف کننده همهگیری در علم شبکه.
Forwarded from Complex Systems Studies
📽 Epidemics, Erdös Numbers and the Internet: the Physics of Networks
https://podcasts.ox.ac.uk/epidemics-erd-s-numbers-and-internet-physics-networks
🌀 Physics Colloquium 12th February 2016 delivered by Professor Mark Newman
Many systems of interest in science and engineering can be represented as networks: the internet, the power grid, transport networks, metabolic networks, ecological networks and social networks are just a few of the many well studied examples. The structure of these networks has deep implications for the behaviour of the systems they represent (for traffic flow on the internet, for instance, or the spread of a disease over a human social network). Their structure is complex and we need new tools to help make sense of it. Physics, perhaps surprisingly, has proved a rich source of such tools. This talk will introduce some of the fundamental ideas in this growing field. It will also demonstrate how techniques borrowed from quantum and statistical physics are helping us to understand a wide range of networked systems.
https://podcasts.ox.ac.uk/epidemics-erd-s-numbers-and-internet-physics-networks
🌀 Physics Colloquium 12th February 2016 delivered by Professor Mark Newman
Many systems of interest in science and engineering can be represented as networks: the internet, the power grid, transport networks, metabolic networks, ecological networks and social networks are just a few of the many well studied examples. The structure of these networks has deep implications for the behaviour of the systems they represent (for traffic flow on the internet, for instance, or the spread of a disease over a human social network). Their structure is complex and we need new tools to help make sense of it. Physics, perhaps surprisingly, has proved a rich source of such tools. This talk will introduce some of the fundamental ideas in this growing field. It will also demonstrate how techniques borrowed from quantum and statistical physics are helping us to understand a wide range of networked systems.
podcasts.ox.ac.uk
Epidemics, Erdös Numbers and the Internet: the Physics of Networks | University of Oxford Podcasts - Audio and Video Lectures
Physics Colloquium 12th February 2016 delivered by Professor Mark Newman
Forwarded from Complex Systems Studies
Reviews of Modern Physics
Epidemic processes in complex networks
Complex networks arise in a wide range of biological and sociotechnical systems. Epidemic spreading is central to our understanding of dynamical processes in complex networks, and is of interest to physicists, mathematicians, epidemiologists, and computer…
There are several maps of the current extent of the #nCoV2019 outbreak but if you are interested in a map of the public discussion taking place on Twitter about #nCov2019 then you should take a look at https://t.co/xcVlaoteOW
🎞 Salam Distinguished Lectures 2020 by Prof. Marc Mézard.
Lecture 1: Artificial Intelligence: success, limits, myths and threats
https://www.youtube.com/watch?v=oSUnILjIZJY
Lecture 2: The spin glass cornucopia
https://www.youtube.com/watch?v=w0Gl81jeqHg
Lecture 3: Statistical physics of inference and machine learning
https://www.youtube.com/watch?v=cqWYS3TXDUk
Lecture 1: Artificial Intelligence: success, limits, myths and threats
https://www.youtube.com/watch?v=oSUnILjIZJY
Lecture 2: The spin glass cornucopia
https://www.youtube.com/watch?v=w0Gl81jeqHg
Lecture 3: Statistical physics of inference and machine learning
https://www.youtube.com/watch?v=cqWYS3TXDUk
Forwarded from انجمن علمی ژرفا
🔖 کنفرانس علوم اعصاب و فیزیک سامانههای نورونی
📒 ۳۰ بهمنماه و ۱ اسفندماه
🏢 دانشکده فیزیک دانشگاه صنعتی شریف
📌 مهلت ثبتنام: ۱۵ بهمنماه
✏️ اطلاعات بیشتر و ثبتنام:
psi.ir/?neurophysics98
📍 @Neuro_Seminar
🆔 @Zharfa90
📒 ۳۰ بهمنماه و ۱ اسفندماه
🏢 دانشکده فیزیک دانشگاه صنعتی شریف
📌 مهلت ثبتنام: ۱۵ بهمنماه
✏️ اطلاعات بیشتر و ثبتنام:
psi.ir/?neurophysics98
📍 @Neuro_Seminar
🆔 @Zharfa90
🇮🇹 ICTP is now accepting applications for the Diploma Program for the academic year 2020-2021!
Apply in Mathematics, Condensed Matter Physics, High Energy Physics, Earth System Physics, and
Quantitative Life Sciences.
Deadline: 29 February 2020.
https://diploma.ictp.it/
http://ictp.it/c2vqd
Quantitative Life Sciences
The QLS Diploma programme is aimed at providing students with a quantitative and theoretical background that can allow them to access postgraduate programmes in a broad range of disciplines, including biophysics, quantitative biology and neuroscience, theoretical systems ecology, economics, data science, and machine learning.
The diploma is organized along five main courses, on:
Probability and Information Theory
Quantitative Biology
Neuroscience
Ecology and Evolution
Machine Learning and Artificial Intelligence
Each are aimed at giving a core theoretical background for analyzing and modeling different phenomena in life sciences. These are complemented with shorter topical and advanced courses, seminars and journal clubs.
Apply in Mathematics, Condensed Matter Physics, High Energy Physics, Earth System Physics, and
Quantitative Life Sciences.
Deadline: 29 February 2020.
https://diploma.ictp.it/
http://ictp.it/c2vqd
Quantitative Life Sciences
The QLS Diploma programme is aimed at providing students with a quantitative and theoretical background that can allow them to access postgraduate programmes in a broad range of disciplines, including biophysics, quantitative biology and neuroscience, theoretical systems ecology, economics, data science, and machine learning.
The diploma is organized along five main courses, on:
Probability and Information Theory
Quantitative Biology
Neuroscience
Ecology and Evolution
Machine Learning and Artificial Intelligence
Each are aimed at giving a core theoretical background for analyzing and modeling different phenomena in life sciences. These are complemented with shorter topical and advanced courses, seminars and journal clubs.
✅ What is the power‐law distribution?
https://rss.onlinelibrary.wiley.com/doi/full/10.1111/j.1740-9713.2017.01050.x%4010.1111/%28ISSN%291740-9713.TOP_SIGN_RESEARCH
https://rss.onlinelibrary.wiley.com/doi/full/10.1111/j.1740-9713.2017.01050.x%4010.1111/%28ISSN%291740-9713.TOP_SIGN_RESEARCH
Royal Statistical Society
Royal Statistical Society Publications
Mark Newman describes a statistical distribution to represent data spanning many orders of magnitude, from the frequencies of words in human language to the sizes of craters on the moon
260-m-Technical Incerto Vol 1.pdf
27.3 MB
STATISTICAL CONSEQUENCES OF FAT TAILS Real World
Preasymptotics, Epistemology, and Applications
Papers and Commentary
NASSIM NICHOLAS TALEB
Preasymptotics, Epistemology, and Applications
Papers and Commentary
NASSIM NICHOLAS TALEB
Statistical Mechanics and Emergent Phenomena in Biology
More detailed information can be found on the school webpage:
http://ipht.cea.fr/begrohu
The deadline for application is the 31st of March.
More detailed information can be found on the school webpage:
http://ipht.cea.fr/begrohu
The deadline for application is the 31st of March.
Forwarded from انجمن فیزیک ایران
مهلت فرستادن مقاله به یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستمهای پیچیده تا ۳۰ بهمنماه تمدید شد.
✅ به کانال خبرى انجمن فیزیک ايران بپيوندید:
👇👇🏽👇👇🏽👇👇🏽👇
http://t.me/psinews
✅ به کانال خبرى انجمن فیزیک ايران بپيوندید:
👇👇🏽👇👇🏽👇👇🏽👇
http://t.me/psinews