|Restrictions||No 2024 2023|
|Core Area||Scientific Perspectives|
A network, in its most basic form, is a collection of interconnected people or things. A friendship network, for example, is made up of individuals and their interactions. Indeed, networks are all around us, from the human brain to the internet to your circle of friends. All networks have an underlying order and adhere to basic mathematical laws. Understanding the structure and behavior of networks allows us to identify terrorists and halt disease outbreaks before they spread. Students are provided a broad overview of network science-including both the computational techniques as well as their applications and implications in biology, sociology, technology, and other fields. Students build networks in various fields, demonstrating that social networks, the internet, and cells are more alike than they are distinct, revealing crucial new insights into the world around us. Aside from the simple structural properties of real-world networks, topics covered include dynamic network activities, including epidemics, network robustness, and communities in networks. Students discuss the societal effects and implications of network analysis. Students have the opportunity to apply what they've learned about network science to real-world data sets of their choosing. Students are presented with an exciting glimpse of the next century of science in an inherently and increasingly interconnected world.