Network Science

Catalog description

Social networks have become important tools for analyzing a wide array of human behaviors and interactions. This course discusses networks arising in many different contexts (e.g. worldwide web, viral marketing, sociology, epidemiology) and presents techniques for analyzing such networks. The goal is to understand how the structure of a network influences its behavior. The course covers the necessary background material in graph theory. Prerequisite(s): A MAT 220, I CSI 403. Familiarity with Python (or similar scripting language) and basic probability (e.g. A MAT 370) is recommended.