Hi everyone Instats is excited to offer a free seminar on Network Structures and Hypergraphs <https://instats.org/seminar/network-structures-and-hypergraphs-free>, running Livestreaming Sep 4th and led by professor Moses Boudourides from the Data Science Graduate Program, School of Professional Studies, Northwestern University. As recent advances in network science push beyond the limits of traditional graph theory, hypergraphs have emerged as a powerful framework for capturing the multi-node relationships that characterize social interaction, digital communication, biophysical systems, and complex dynamic systems more broadly. This introductory seminar equips PhD students, faculty, and professional researchers with the conceptual foundations of hypergraph theory while providing hands-on demonstrations in Python to analyze real-world data. Serving as a primer for professor Boudourides’s forthcoming four-day workshop “Predicting Network Structure with Hypergraphs,” the session explores the distinctions between graphs and hypergraphs, showcases cutting-edge Python libraries, and illustrates how hypergraph models better represent group-level dynamics such as community formation, contagion, and collective decision-making. Participants will leave with a solid grasp of hypergraph basics and the practical skills to begin applying these methods in their own research, setting the stage for deeper exploration of hyperlink prediction and network reconstruction in future study.
Sign up today <https://instats.org/seminar/network-structures-and-hypergraphs-free> to secure your spot, and feel free to 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
