Hi everyone Instats is excited to offer a 4-day seminar, Social Network Analysis: Strength vs. Vulnerability <https://instats.org/seminar/social-network-analysis-strength-vs-vuln>, livestreaming August 25 – 27 by Dr Basak Taraktas. As research increasingly turns to complex, interconnected systems—from financial markets and political coalitions to social-media communities and health/disease networks—traditional metrics such as degree or betweenness centrality alone can miss the tipping points where networks fracture. This hands-on workshop closes that gap by guiding participants through cutting-edge resilience analytics in R, including k-core decomposition, percolation theory, and advanced community-detection techniques. You will learn how formation mechanisms like homophily, heterophily, and preferential attachment create hidden structural weak spots, practice building and visualizing networks from raw data, and apply simulations that reveal which ties sustain—or undermine—systemic stability. Real-world case studies range from Ottoman revolutionary networks to modern bank stress scenarios, equipping scholars in the social, health, and natural sciences with practical code, interpretive strategies, and publication-ready insights. Whether your goal is to diagnose alliance fragmentation thresholds, model protest diffusion, or forecast financial contagion, this seminar delivers the conceptual frameworks and R skills to transform compelling questions into rigorous, resilience-focused analyses.
This seminar is one of a 2-part course on Network Analysis: Introductory and Advanced <https://instats.org/course/network-analysis-introductory--advance2>. When the full 2-part course is purchased, participants automatically receive a 10% discount on both seminars. Sign up today to secure your spot, and please share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Institute for Statistical and Data Science https://instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-Epi@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-epi
