Complex Systems Studies

سخنرانی‌های عمومی برخط دانشکده فیزیک بهشتی 🦠 علم شبکه و مدل‌سازی پخش بیماری‌ در حضور مداخله‌‌ها (۱۵:۰۰) 📼 قوس داستانی و خم‌های عاطفی در قصه‌ها (۱۶:۰۰) چهارشنبه ۲ اسفند ۴۰۲ ساعت ۱۵:۰۰ عباس ریزی — دانشگاه آلتو، فنلاند شرکت برای همه از طریق این پیوند آزاد و رایگان است: 🔗 meet.google.com/whe-obvb-ger ---------------------------------------------- @sitpor | sitpor.org instagram.com/sitpor_media #سیتپـــــور به خاطر روایتگری در علم

The physics of financial networks As the total value of the global financial market outgrew the value of the real economy, financial institutions created a global web of interactions that embodies systemic risks. Understanding these networks requires new theoretical approaches and new tools for quantitative analysis. Statistical physics contributed significantly to this challenge by developing new metrics and models for the study of financial network structure, dynamics, and stability and instability. In this Review, we introduce network representations originating from different financial relationships, including direct interactions such as loans, similarities such as co-ownership and higher-order relations such as contracts involving several parties (for example, credit default swaps) or multilayer connections (possibly extending to the real economy). We then review models of financial contagion capturing the diffusion and impact of shocks across each of these systems. We also discuss different notions of ‘equilibrium’ in economics and statistical physics, and how they lead to maximum entropy ensembles of graphs, providing tools for financial network inference and the identification of early-warning signals of system-wide instabilities. https://www.nature.com/articles/s42254-021-00322-5

#Coxeter Lecture Series will be delivered by 2022 Fields Medallist Hugo Duminil-Copin. Do NOT miss an opportunity to hear his talks in-person or online! Register: bit.ly/3SNmOEH

13 #PhD positions in Machine Learning, Statistics, Logic, Language Technology, and Ethics Integreat, The Norwegian Centre for Knowledge-driven Machine Learning, https://www.jobbnorge.no/en/available-jobs/job/257181/13-phd-positions-in-knowledge-driven-machine-learning

Where does the $$$ in Art Come From? The role of philanthropy. https://news.northeastern.edu/2024/01/18/art-philanthropy-in-the-us

Multiple #Postdoc positions in Budapest https://centerforcollectivelearning.org/jobs The Computational Inequalities Research Group, led by Orsolya Vásárhelyi is looking for two Postdoctoral Research Fellows for full-time positions (40 hours/week) at the Center for Collective Learning (CCL) at Corvinus University at the Corvinus University of Budapest.

Up to 6 fully-funded PhD positions in Data Science for Oct 2024, Trieste (Italy): 4 years, no restriction on nationality - applications from candidates from under-represented groups especially encouraged! http://datascience.sissa.it/apply

"Ambitions for theory in the physics of life" (by William Bialek): https://arxiv.org/abs/2401.15538 [note: Lectures at the 2023 Les Houches Summer School, Theoretical Biophysics]

Mark Newman | Leaders and Best: Networks and Ranking in Sports, Markets, and Society One of the oldest of network problems is the ranking of individuals, teams, or commodities on the basis of pairwise comparisons between them. For example, if you know which football teams beat which others in a particular year, can you say which team is the best overall? This is a harder problem than it sounds because not all pairs of teams play games in a given season, and also because the outcomes of the games can be ambiguous or contradictory. This talk will introduce the techniques used to solve such ranking problems, with examples from games and sports, consumer research and marketing, and social hierarchies in both animal and human communities, then ask how those techniques can be extended to answer a range of new questions about competition and ranking, including the development of new computer algorithms for ranking, questions about the varying patterns of competition in different sports, and what happens when individuals or teams compete in multiple different ways. https://www.mivideo.it.umich.edu/playlist/dedicated/293581272/1_gz6diy1y/1_ke40xxtk

[2401.12047] Fast degree-preserving rewiring of complex networks https://arxiv.org/abs/2401.12047

#PhD at ITU at the intersection of AI, Network Science and Computational Social Science https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181658&DepartmentId=3439&MediaId=5

Link Me Baby One More Time: Social Music Discovery on Spotify https://arxiv.org/abs/2401.08818

#job Data Scientist - Computational Social Science Lab https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/3401-Walnut-Street/Data-Scientist---Computational-Social-Science-Lab_JR00084578

Does the brain behave like a (complex) network? I. Dynamics https://www.sciencedirect.com/science/article/pii/S1571064523002105

LAKE COMO SCHOOL OF ADVANCED STUDIES Spring School "Computational Social Science: Advances, Challenges and Opportunities (1st edition)" Villa del Grumello, Como, Italy, May 13-17 2024 https://css.lakecomoschool.org/

Critical phenomena in complex networks: from scale-free to random networks Within the conventional statistical physics framework, we study critical phenomena in configuration network models with hidden variables controlling links between pairs of nodes. We obtain analytical expressions for the average node degree, the expected number of edges in the graph, and the Landau and Helmholtz free energies. We demonstrate that the network’s temperature controls the average node degree in the whole network. We also show that phase transition in an asymptotically sparse network leads to fundamental structural changes in the network topology. Below the critical temperature, the graph is completely disconnected; above the critical temperature, the graph becomes connected, and a giant component appears. Increasing temperature changes the degree distribution from power-degree for lower temperatures to a Poisson-like distribution for high temperatures. Our findings suggest that temperature might be an inalienable property of real networks. https://link.springer.com/article/10.1140/epjb/s10051-023-00612-0

#phd & #postdoc uvm.edu/socks/#jobs

#Postdoc Positions at the Center for Network Dynamics, Northwestern University https://cnd.northwestern.edu/openings/