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