UI Wordmark

IE 533 A - Big Graphs and Social Networks

Campus: Urbana-Champaign


This course will cover the fundamentals of graph theory and network optimization. It will focus on algorithmic challenges associated with big graphs and intertwine the Hadoop Framework for solving example problems like shortest paths, link analysis, graph association and inexact graph matching. Applications in social network analysis will include study of network types, random graph models, exact and approximate computation of centrality measure, finding high value individuals, community detection, diffusion processes and cascading models, and influence maximization. Course Information: 4 graduate hours. No professional credit. Prerequisite: MATH 213, IE 300, IE 411. ISE graduate students and students enrolled in the Master of Science in Advanced Analytics (MCAA) are eligible to take the course.

Academic Program Restrictions:

MS:Sys & Entreprnural Eng-UIUC

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Fall


Bachelor's Degree

Master's Degree

Doctoral Degree


Continuing Education

Search Programs

Search Courses


Contact Us

University of Illinois Online
Phone: (866) 633-8465 - Join Us  Facebook
© Copyright 2015 - University of Illinois

Cookie Settings