MATH-442 Mathematics of Social Networks
Spring for 2016-2017
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
Credits: 3
Prerequisites: Math 137, Math 150
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