Complex Systems Studies

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.

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

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.

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

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

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

🎞 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

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

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 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

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.

💧👐 چرا شستن دست‌ها واقعا همه‌گیری رو کند می‌کنه؟ https://www.medicalnewstoday.com/articles/why-hand-washing-really-could-slow-down-an-epidemic

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

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 description 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.

Mathematics for Machine Learning Specialization Mathematics for Machine Learning. Learn about the prerequisite mathematics for applications in data science and machine learning https://www.coursera.org/specializations/mathematics-machine-learning

Applied Data Science with Python Specialization Gain new insights into your data . Learn to apply data science methods and techniques, and acquire analysis skills. https://www.coursera.org/specializations/data-science-python

#کرونا | توصیه‌های دانشگاه علوم‌ پزشکی شهید بهشتی رو جدی بگیریم: https://instagram.com/sbmu.ac?igshid=2g2voqiuyvxx

💡 https://twitter.com/Arnaldo_AGITF/status/1233060020268519424?s=19

Lessons from an earlier epidemic (SARS, 17 years ago), from ⁦Duncan Watts⁩. Main point: in a connected world, a bit of fear is good. https://t.co/zUFcCaCx5N Key quote from the article: “our real concern ought not to be that we are too easily scared, but that we are too easily reassured.” #coronavirus #COVIDー19 #covid19

🦠 پیشنهاد می‌کنیم برای آگاهی از اطلاعات موثق و آخرین اخبار در مورد #کرونا ، این دو حساب را در توییتر دنبال کنید: 🧓🏻 Marc Lipsitch https://twitter.com/mlipsitch Director Center for Communicable Disease Dynamics at Harvard Chan 👩🏻 Dr. Tara C. Smith https://twitter.com/aetiology Professor, infectious disease epidemiologist هر دوی این افراد متخصص‌های بیماری‌های واگیردار هستند. #COVID19