Online Course Catalog
IE 533 A - Big Graphs and Social Networks
|Big Graphs and Social Networks||A||70690||ONL||4||-||Rakesh Nagi|
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.