Generational Random Graphs – Professor Jon Crowcroft
Explore generational random graphs in this 51-minute talk by Professor Jon Crowcroft at the Alan Turing Institute. Delve into a simple model for small-world-like graphs that goes beyond single-parameter characterization, offering potential insights into heterogeneity and time-variation in networks. Learn about scalable multicast routing, traffic management, and end-to-end protocol design as applied to graph theory, networks, and social media analytics. Examine topics such as opportunistic communications, social networks, and infrastructure-free mobile systems. Discover the "build and learn" research paradigm while exploring concepts like ER Bacon Sabbath, mean paths, preferential attachment, beta models, degree distribution, and the natural fit of generational networks in various contexts including coauthorship, business relationships, and regional networks.