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Georgetown University


Detailed Course Information


Fall 2017
Sep 28, 2022
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MATH 442 - Mathematics of Social Networks
Social network analysis (SNA) focuses on relationships between social entities. SNA is used widely in the social and behavioral sciences, as well as in political science, economics, logistics, industrial engineering and national security. 

This course will present an introduction to the underlying mathematics used in SNA, in particular those drawn from graph theory and linear algebra. The primary focus of the applications of these methods is the analysis of relational data measured on groups of social agents or graph nodes. Topics to be discussed include an introduction to graph theory, link analysis, centrality measures, random graphs, and diffusions (such as spread of diseases) on networks.

Textbook: Networks: An Introduction
Author: Mark Newman
Publisher: Oxford University Press; 1 
ISBN-10: 0199206651

3.000 Credit hours
3.000 Lecture hours

Levels: MN or MC Graduate, Undergraduate
Schedule Types: Lecture

Mathematics Department

Course Attributes:
Mean Grade is Calculated

Must be enrolled in one of the following Levels:     
      MN or MC Graduate
Must be enrolled in one of the following Majors:     
      Mathematics and Statistics

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