Post #336

Graph Machine Learning research groups: Albert-László Barabási I do a series of posts on the groups in graph research, previous post is here. The 18th is Albert-László Barabási, who introduced scale-free networks and in particular Barabási–Albert model and popularized network science through several books and courses. Albert-László Barabási (1967) - Affiliation: Northeastern University - Education: Ph.D. at Boston University in 1994 (advisor: H. Eugene Stanley) - h-index 145 - Awards: John von Neumann Medal, C&C Prize, Prima Primissima Award, Cozzarelli Prize, Bolyai Prize - Interests: network science, network structure, network control