Abrupt phase transition of epidemic spreading in simplicial complexes

Joan T. Matamalas, Sergio Gómez, and Alex Arenas
Phys. Rev. Research 2, 012049(R) – Published 27 February 2020

https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.012049

Abstract
Recent studies on network geometry, a way of describing network structures as geometrical objects, are revolutionizing our way to understand dynamical processes on networked systems. Here, we cope with the problem of epidemic spreading, using the susceptible-infected-susceptible (SIS) model, in simplicial complexes. In particular, we analyze the dynamics of the SIS in complex networks characterized by pairwise interactions (links) and three-body interactions (filled triangles, also known as 2-simplices). This higher-order denoscription of the epidemic spreading is analytically formulated using a microscopic Markov chain approximation. The analysis of the fixed point solutions of the model reveals an interesting phase transition that becomes abrupt with the infectivity parameter of the 2-simplices. Our results pave the way to advance in our physical understanding of epidemic spreading in real scenarios where diseases are transmitted among groups as well as among pairs and to better understand the behavior of dynamical processes in simplicial complexes.

Summer school on Mathematical Methods in Computational Neuroscience

this 4 week summer school covers some of the most important methods used in computational neuroscience research through both main lectures and scientific seminars (5-6 main lectures per topic and 1-2 seminars by each invited seminar speaker) .

Organizers: Yasser Roudi and Benjamin Dunn

Kavli Moen Gård, Esfjord, Norway, 15 Jul- 15 Aug 2020.
⚡️ Application deadline: 15 May.
https://compneuronrsn.org

💧👐 چرا شستن دست‌ها واقعا همه‌گیری رو کند می‌کنه؟

https://www.medicalnewstoday.com/articles/why-hand-washing-really-could-slow-down-an-epidemic

Computer Simulation of the spread of a pandemic

The clip depicts the time course of an epidemic with outbreak in Mexico across the worldwide air-transportation network. This simulation is related to the actual spread of H1N1 in 2009.

The hidden patterns in complex global disease dynamics : Outbreak Atlanta

The video clip depicts a computer simulation of a global pandemic. The spreading takes place on the worldwide air transportation network of more than 4000 airports and 25000 direct links. The right panel shows the spread in the conventional geographic representation. The left panel shows the same dynamics in a more appropriate representation in which radial distance corresponds to an effective distance.
https://science.sciencemag.org/content/342/6164/1337

The hidden patterns in complex global disease dynamics : Outbreak Mexico City

The video clip depicts a computer simulation of a global pandemic. The spreading takes place on the worldwide air transportation network of more than 4000 airports and 25000 direct links. The right panel shows the spread in the conventional geographic representation. The left panel shows the same dynamics in a more appropriate representation in which radial distance corresponds to an effective distance.
http://rocs.hu-berlin.de/projects/hidden/index.html

The hidden patterns in complex global disease dynamics : Outbreak Paphos, Greece

e spreading takes place on the worldwide air transportation network of more than 4000 airports and 25000 direct links. The right panel shows the spread in the conventional geographic representation. The left panel shows the same dynamics in a more appropriate representation in which radial distance corresponds to an effective distance.
http://rocs.hu-berlin.de/projects/hidden/index.html

🎞 2018-2019 Phase Transitions & Critical Phenomena (CMP-PT), A. Nersesyan

ICTP Postgraduate Diploma Programme
12 Lectures

https://www.youtube.com/watch?v=ancLYSF07C8&list=PLp0hSY2uBeP9crEO-5oxOIo5TVULxrWGC

💰 Complex Systems and Data Science methods to study behavioural patterns in audiovisual contents consumption
https://euraxess.ec.europa.eu/jobs/499679

#postdoc

A Kinetic View of Statistical Physics
Speaker: Sidney Redner (Santa Fe Institute) Spring College on the Physics of Complex Systems | (smr 3427)

https://www.aparat.com/playlist/307535

Inferring high-resolution human mixing patterns for disease modeling
“age-stratified contact matrices for 277 sub-national administrative regions of countries covering approximately 3.5 billion people”

https://t.co/n9pvIiCzn4?amp=1

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.

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

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.

💰 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/

💰#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

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

📺 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

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/