Complex Systems Studies

Bayesian stochastic blockmodeling Tiago P. Peixoto last revised 6 Feb 2020 (this version, v8) https://arxiv.org/pdf/1705.10225 This chapter provides a self-contained introduction to the use of Bayesian inference to extract large-scale modular structures from network data, based on the stochastic blockmodel (SBM), as well as its degree-corrected and overlapping generalizations. We focus on nonparametric formulations that allow their inference in a manner that prevents overfitting, and enables model selection. We discuss aspects of the choice of priors, in particular how to avoid underfitting via increased Bayesian hierarchies, and we contrast the task of sampling network partitions from the posterior distribution with finding the single point estimate that maximizes it, while describing efficient algorithms to perform either one. We also show how inferring the SBM can be used to predict missing and spurious links, and shed light on the fundamental limitations of the detectability of modular structures in networks.

"Bridging data science and dynamical systems theory" (by Tyrus Berry, Dimitrios Giannakis, John Harlim): https://arxiv.org/abs/2002.07928 "This short review describes mathematical techniques for statistical analysis and prediction in dynamical systems."

🔰 دفتر فرهنگی دانشکده فیزیک علم و صنعت برگزار میکند: ✅ آشنایی با سیستم های پیچیده سیستم های حرکت جمعی و کاربرد ها چگونه فعالیت های جمعی در توییتر باعث فریب میشوند؟! 👤سخنران: دکتر غلامرضا جعفری استاد دانشکده فیزیک دانشگاه شهید بهشتی 📆 زمان: 5ام اسفندماه ساعت 13 🏫 مکان: دانشگاه علم صنعت - سالن سمینار دانشکده فیزیک شماره یک ➖➖➖➖➖➖➖➖➖➖➖ ✅ دفتر فرهنگی دانشکده فیزیک 🌐 www.alphanity.ir 🆔 @DaftarFarhangi 📱 instagram.com/Dfp_iust

the scaling laws in the dynamics of #coronavavirus #COVID19 case counts (and an explanation for them) here: https://t.co/MFAUbj1K5d

💰 We are looking for a CS/engineer/physicist for a PhD position to work with fMRI and EEG within the frame of the @HumanBrainProj. Check it out! https://t.co/YeCS3Sf9CC #PhD #findaphd #phdchat #phdlife

💰I have funding to support a #PhD student on topics connected to collective behaviour and collective intelligence. I will be putting up some suggested projects soon, but if you want to discuss possible ideas please get in touch. https://eps.leeds.ac.uk/maths/staff/4057/dr-richard-mann

"Elitism in Mathematics and Inequality" (by Ho-Chun Herbert Chang, Feng Fu): https://t.co/Kss1o97yWA "Our results demonstrate concerted efforts by international academic committees, such as prize-giving, are a powerful force to give equal access."

Spring School COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS (6th edition) Villa del Grumello, Como, Italy, 18-21 May 2020 https://ntmf.lakecomoschool.org/ DEADLINE FOR APPLICATION: February 23, 2020 CSS-TSS fee waivers The Complex Systems Society (CSS), in the framework of the Thematic School Support (TSS) Program 2020, grants two fee waivers to support the attendance of PhD students and Junior Post Doctoral researchers who are members of the CSS. Prospective participants who are eligible for the TSS grant should accompany their application (see the form below) with an email to the Organizing Committee (Carlo Piccardi, carlo.piccardi@polimi.it) requiring the fee waiver, providing evidence of their eligibility (academic status and CSS membership, holding at the application deadline, February 23, 2020) and motivations for their request. The acceptance will be notified together with the admission to the school (March 16, 2020).

📝 دفاع از پایان‌نامه کارشناسی ارشد 👨🏻‍🎓 مهرزاد شادمان ⏱ سه‌شنبه ۲۹ بهمن، ساعت ۱۷:۳۰ 🏛 سالن ابن‌هیثم - دانشکده فیزیک - دانشگاه شهیدبهشتی

⚡️ https://www.nature.com/articles/s41598-020-59187-w

Real Madrid on the cover of the scientific journal Entropy? Read our last paper about Entropy, Networks & Football. Awesome combination!! https://t.co/hstZyhjtHd

💡 Louis Nirenberg reshaped how mathematicians understand and study dynamical systems, from cells to markets. https://t.co/pxG5tK4xKh

💰The LDE center for BOLD cities is looking for a #PhD candidate 🧨 Closing date 18 February 2020 Project description We are looking for an excellent PhD candidate to join a unique multidisciplinary project defined within the LDE (Leiden University, Delft University of Technology and Erasmus University) Centre for BOLD (Big Open and Linked Data) Cities. The project entitled ‘Data-driven, urban policymaking for social inclusion of young, vulnerable people’ compiles a team of researchers from psychology, architecture, computer science and public administration with the goal of identifying factors contributing to an inclusive school setting. Selection criteria MSc in data science, artificial intelligence, computer science, or a related discipline; strong programming skills; Experience with machine learning and data mining algorithms; The project particularly encourages applications from candidates with a demonstrated affinity to the application of computational methods and algorithms for solving issues in other domains such as public policy; https://www.universiteitleiden.nl/en/vacancies/2020/q1/20-057-6822-phd-candidate-data-driven-urban-policymaking-for-social-inclusion-of-young-vulnerable-people

📝 دفاع از پایان‌نامه کارشناسی ارشد 👨🏻‍🎓 محمد شرافتی ⏱ دوشنبه ۲۸ بهمن، ساعت ۱۴:۰۰ 🏛 سالن ابن‌هیثم - دانشکده فیزیک - دانشگاه شهیدبهشتی

📝 دفاع از پایان‌نامه کارشناسی ارشد 👩🏻‍🎓 بهار آذری ⏱ دوشنبه ۲۸ بهمن، ساعت ۱۵:۳۰ 🏛 سالن ابن‌هیثم - دانشکده فیزیک - دانشگاه شهیدبهشتی

Statistics for Mechanical Engineering - YouTube https://m.youtube.com/playlist?list=PLMc0PsvITOku19afGWLhtA63gWPZpWBuK

💰Interested in doing a #PhD in network dynamics and other topics? Or know an excellent candidate? https://t.co/1g2qW2M0b8

📐 New interactive post: "Understanding Maximum Likelihood" also included the likelihood ratio test, Wald test, and Score test. https://t.co/LlWcgOkw8t