Found 3 relevant results in 2.14s where lecturer="Raphael Mario Steiner"
Complex network models are random graphs that feature one or several properties observed in real-world networks (e.g., social networks, internet graph, www). Depending on the application, different properties are relevant, and different complex network models are useful. This course gives an overview over some relevant models and the properties they do and do not cover.
Structural graph theory forms, besides extremal graph theory, one of the two main pillars of modern graph theory. While the latter is concerned with maximizing the number of edges or the density of graphs, structural graph theory focuses on understanding the structural nature of all members of a class of graphs.This course will cover several cornerstone results of structural graph theory.
Structural graph theory forms, besides extremal graph theory, one of the two main pillars of modern graph theory. While the latter is concerned with maximizing the number of edges or the density of graphs, structural graph theory focuses on understanding the structural nature of all members of a class of graphs.This course will cover several cornerstone results of structural graph theory.