BREAKING: Coronavirus update--Italy, Iran, Germany, France, Spain and US have large jumps in new domestic transmissions. South Korea has second day of decline. (Today's attached map uses worldometers numbers)
China new cases are the best since the lockdown on Jan 23.
https://twitter.com/yaneerbaryam
✅ Update: China just reported only 125 cases today. 114 in Hubei province, down from 195 yesterday. This additional dramatic drop shows the effectiveness of travel restrictions and lockdowns.
China new cases are the best since the lockdown on Jan 23.
https://twitter.com/yaneerbaryam
✅ Update: China just reported only 125 cases today. 114 in Hubei province, down from 195 yesterday. This additional dramatic drop shows the effectiveness of travel restrictions and lockdowns.
If you want to understand what’s going on with the #coronavirus, this is the most informative article I have seen yet Definitely worth reading.
Coronavirus in China: The most important lessons from China’s Covid-19 response - Vox
https://t.co/P2pLHiI98K
Coronavirus in China: The most important lessons from China’s Covid-19 response - Vox
https://t.co/P2pLHiI98K
Community detection with the Label Propagation Algorithm: A survey
https://www.sciencedirect.com/science/article/pii/S0378437119312026
Highlights
• The Label Propagation Algorithm (LPA) has caught attention for its advantages.
• Abundant literature finds LPA efficient, scalable, conceptually clear, and simple.
• We review LPA-related proposals, including enhancements and extensions.
• An empirical study of 13,834 variants of LPA is presented.
• Experiments indicate that most enhancements are beneficial in specific scenarios.
Abstract
Community detection aims at discovering the structure, behavior, dynamics, and organization of a complex network by finding cohesive groups where nodes (entities) are, in some sense, more similar within the group and groups are in some fashion separated from the other groups. The Label Propagation Algorithm (LPA), which mimics epidemic contagion by spreading labels, is a popular algorithm for this task. Its variants (enhancements, extensions, combinations) seek to improve or to adapt it while preserving the advantages of the original formulation. This survey gathers, classifies, and summarizes LPA-related advances from 2007 to mid 2019. We also experiment with combinations of numerous LPA “building blocks” on two types of small synthetic networks; essentially all of the 13,834 resulting LPA variants have their niche in terms of either higher solution quality or lower computational load with acceptable quality, but none is universally superior.
https://www.sciencedirect.com/science/article/pii/S0378437119312026
Highlights
• The Label Propagation Algorithm (LPA) has caught attention for its advantages.
• Abundant literature finds LPA efficient, scalable, conceptually clear, and simple.
• We review LPA-related proposals, including enhancements and extensions.
• An empirical study of 13,834 variants of LPA is presented.
• Experiments indicate that most enhancements are beneficial in specific scenarios.
Abstract
Community detection aims at discovering the structure, behavior, dynamics, and organization of a complex network by finding cohesive groups where nodes (entities) are, in some sense, more similar within the group and groups are in some fashion separated from the other groups. The Label Propagation Algorithm (LPA), which mimics epidemic contagion by spreading labels, is a popular algorithm for this task. Its variants (enhancements, extensions, combinations) seek to improve or to adapt it while preserving the advantages of the original formulation. This survey gathers, classifies, and summarizes LPA-related advances from 2007 to mid 2019. We also experiment with combinations of numerous LPA “building blocks” on two types of small synthetic networks; essentially all of the 13,834 resulting LPA variants have their niche in terms of either higher solution quality or lower computational load with acceptable quality, but none is universally superior.
Sciencedirect
Community detection with the Label Propagation Algorithm: A survey
Community detection aims at discovering the structure, behavior, dynamics, and organization of a complex network by finding cohesive groups where node…
💰 We are training 120 #PhD students in four annual cohorts of 30 students across the five partner universities
Applications for the academic year 2020/2021 are now open - extended deadline is Friday 6th March 2020.
http://advance-crt.cs.ucc.ie/
Applications for the academic year 2020/2021 are now open - extended deadline is Friday 6th March 2020.
http://advance-crt.cs.ucc.ie/
💰#PhD Position: Networks of the Coast.
This project focuses on social data analysis, collective decision making and governance. Possible topics are to analyse coastal land use, marine traffic and decision making related to biodiversity conservation.
We use modern data analysis methods to both ecological and social data. In addition mathematical models will be used to explain phenomena seen in the data or to form new hypothesis that can be tested with data sets.
https://t.co/Bk8o6YlZcL
This project focuses on social data analysis, collective decision making and governance. Possible topics are to analyse coastal land use, marine traffic and decision making related to biodiversity conservation.
We use modern data analysis methods to both ecological and social data. In addition mathematical models will be used to explain phenomena seen in the data or to form new hypothesis that can be tested with data sets.
https://t.co/Bk8o6YlZcL
Umantis
PhD Position "Networks of the coast" (m/f/d)
Layout AWI Forschung englisch extern
The transition from laminar to turbulent flow is a non-equilibrium phase transition in the directed percolation universality class!
Hong-Yan Shih reports on theory & experiment of interacting puffs in pipe: strong evidence for DP.
#apsmarch #TURBULENCE
https://t.co/Yt67Z78nfq
Hong-Yan Shih reports on theory & experiment of interacting puffs in pipe: strong evidence for DP.
#apsmarch #TURBULENCE
https://t.co/Yt67Z78nfq
YouTube
W25.00007 Hong-Yan Shih Statistical model and universality class for interacting puffs in transition
This is a contributed talk by Hong-Yan Shih (Academia Sinica and UIUC) for the APS March Meeting 2020.
It was supposed to have been given at the APS March Meeting in Denver, but the meeting was cancelled due to the coronavirus.
In the talk, Hong-Yan Shih…
It was supposed to have been given at the APS March Meeting in Denver, but the meeting was cancelled due to the coronavirus.
In the talk, Hong-Yan Shih…
📺 interactions with Leo, minimal models for non-trivial aspects of complex space-time patterns, & new work on topological scaling laws in evolution.
#apsmarch
https://t.co/bjOVcJeN6Z
#apsmarch
https://t.co/bjOVcJeN6Z
YouTube
F37.00005 Goldenfeld Kadanoff Prize talk APS March 2020 (35 minutes)
This is my invited talk for APS Leo P. Kadanoff Prize March 2020.
It was supposed to have been given at the APS March Meeting in Denver, but the meeting was cancelled due to the coronavirus.
In the talk, I describe some of the historical interactions…
It was supposed to have been given at the APS March Meeting in Denver, but the meeting was cancelled due to the coronavirus.
In the talk, I describe some of the historical interactions…
Spread the word, applications are now open for CNWW 2020! The Complex Networks Winter Workshop will be in Québec City from December 13-18. https://t.co/JjejSkbOQp
سازمان جهانی بهداشت:
آمار مرگ و میر کرونا ۲ درصد نیست، ۳/۴ درصد است!
3.4% Mortality Rate estimate by the World Health Organization (WHO) as of March 3
“Globally, about 3.4% of reported COVID-19 cases have died. By comparison, seasonal flu generally kills far fewer than 1% of those infected.”
https://www.worldometers.info/coronavirus/coronavirus-death-rate/
آمار مرگ و میر کرونا ۲ درصد نیست، ۳/۴ درصد است!
3.4% Mortality Rate estimate by the World Health Organization (WHO) as of March 3
“Globally, about 3.4% of reported COVID-19 cases have died. By comparison, seasonal flu generally kills far fewer than 1% of those infected.”
https://www.worldometers.info/coronavirus/coronavirus-death-rate/
www.worldometers.info
Coronavirus Death Rate (COVID-19) - Worldometer
Case Fatality Rate (CFR), Infection Fatality Rate (IFR), and Crude Mortality Rate (CMR) latest estimates for the COVID-19 disease from the SARS-CoV-2 virus originating from Wuhan, China
How to Write an Excellent Master's Thesis — slides: http://users.aalto.fi/~jsaramak/HowToWriteMastersThesis.pdf
"Dynamic Processes Spreading in Networks" at the #AMSISS20 summer school.
🦠 lecture notes (Python Jupyter Notebooks) at https://github.com/joelmiller/DynamicProcessesOnNetworks
Topics include #Kuramoto, #PageRank, #SIS, #SIR, #ComplexContagions
🦠 lecture notes (Python Jupyter Notebooks) at https://github.com/joelmiller/DynamicProcessesOnNetworks
Topics include #Kuramoto, #PageRank, #SIS, #SIR, #ComplexContagions
GitHub
GitHub - joelmiller/DynamicProcessesOnNetworks
Contribute to joelmiller/DynamicProcessesOnNetworks development by creating an account on GitHub.
💰 We are seeking applicants for a #PhD 3-year scholarship for an interdisciplinary project funded by CNRS
This project seeks to combine the neuroscience and the economic methods to study how humans behave in strategic environments. Economics has developed different models of learning in repeated games. Recent advances in human reinforcement learning suggest systematic distortions in value update. The project will look for ways to intertwine these aspects from a theoretical, computational and experimental perspectives.
Applicants will have a strong quantitative background, a taste for game theory and experimental methods and be open to work with both neuro-scientists and economists. The successful candidate will be based at the Laboratoire de Neurosciences Cognitives et Computationelles (DEC) and the Paris School of Economics (PSE).
If you are interested, please address before March 31th an email (with detailed CV) to:
stefano.palmineteri@ens.fr and jean-marc.tallon@psemail.eu
This project seeks to combine the neuroscience and the economic methods to study how humans behave in strategic environments. Economics has developed different models of learning in repeated games. Recent advances in human reinforcement learning suggest systematic distortions in value update. The project will look for ways to intertwine these aspects from a theoretical, computational and experimental perspectives.
Applicants will have a strong quantitative background, a taste for game theory and experimental methods and be open to work with both neuro-scientists and economists. The successful candidate will be based at the Laboratoire de Neurosciences Cognitives et Computationelles (DEC) and the Paris School of Economics (PSE).
If you are interested, please address before March 31th an email (with detailed CV) to:
stefano.palmineteri@ens.fr and jean-marc.tallon@psemail.eu
🧠 1. A very short thread on the power of data graphics and scientific communication.
Roughly a week ago, some very smart person* sat down, drew this graph, and saved lives.
(*It's 2 AM. Without an economist subscription, I can't quickly discover whom. Maybe someone can help.) https://t.co/eU71Eu60eS
Roughly a week ago, some very smart person* sat down, drew this graph, and saved lives.
(*It's 2 AM. Without an economist subscription, I can't quickly discover whom. Maybe someone can help.) https://t.co/eU71Eu60eS
Twitter
Carl T. Bergstrom
1. A very short thread on the power of data graphics and scientific communication. Roughly a week ago, some very smart person* sat down, drew this graph, and saved lives. (*It's 2 AM. Without an economist subscription, I can't quickly discover whom. Maybe…