Select the desired Level or Schedule Type to find available classes for the course. |

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 Restrictions: 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 |

Return to Previous | New Search |