Based on the Network Analysis and Visualization (NAV) process model; articulates the analysis, interpretation and visualization of big data collected from online networks in social media. Draws on the foundation of CMHT 6500 to (1) synthesize network analysis and graph theory in the broader fields of digital retailing theories; (2) advance methods for collecting, analyzing, visualizing and interpreting big data; (3) discover network patterns and consumer trends in social media based on the cluster and semantic analysis; and (4) develop social media strategies for digital retailing.  

Prerequisite(s): CMHT 6500 or consent of instructor.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $10.40