DATA 641 - Network Analysis

Spring (3) Nwala. Prerequisite(s): previous programming experience

Networks are everywhere in our lives: networks of friends on social media, the Web, networks of neurons in our brains, etc. It’s amazing that such a simple representation - dots and lines - can capture a variety of relationships, whether simple or complex. In this course, we will survey a broad range of fundamental topics in network science, relevant to students from data/computer science and engineering, informatics, business, biology, physics, statistics, social sciences, etc. For example, we will explore the properties of social networks and the key role of hubs, and how directed and weighted networks affect the spread of information and misinformation in social media. These topics are important and useful in many job sectors from marketing to technology, management to design, and from biology to the arts and humanities. Cross-listed with DATA 541