Graph-Based Analysis for Big Data in Social Networks

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Overview

Subject area

CSC

Catalog Number

769

Course Title

Graph-Based Analysis for Big Data in Social Networks

Department(s)

Description

Mathematical foundations of social media analysis, and a comprehensive introduction to the use of graph theory in the study of social and digital media. Study of the confluence of graph analysis, network theory, big data analysis, and signal processing. Algebraic and combinatorial graph theory will be particularly applied for the analysis of graphs, in social media studies. Techniques such as parallel spectral clustering and distributed tensor decomposition will be discussed. As social media inherits growing big data issues related to both size and content of the stored multimedia, strong emphasis will be placed on the analysis of big data.

Typically Offered

Fall, Spring

Academic Career

Graduate

Liberal Arts

No

Credits

Minimum Units

3

Maximum Units

3

Academic Progress Units

3

Repeat For Credit

No

Components

Name

Lecture

Hours

3

Requisites

031286

Course Schedule