Title

Quantifying Concurrency in a Network in the Spread of STDs

Date

6-1-2017 8:45 AM

End Time

1-6-2017 9:00 AM

Location

RWEC 107

Department

Mathematics

Session Chair

Matthew Nabity

Session Title

Mathematics Senior Project presentations

Faculty Sponsor(s)

Breeann Flesch

Presentation Type

Presentation

Abstract

Statistically, it has been shown that concurrency has a significant impact on how fast an STD will spread through a population. Thus is it necessary to define and measure concurrency, and one way to do so is by applying graph theory. This presentation will focus on looking at three different measurements that can be used to quantify concurrency within a sexual network by using graph theory and basic statistics. Even though, at first glance, the measurements may seem abstract, through the use of graph theory and statistics, they are quite easy to understand.

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Jun 1st, 8:45 AM Jun 1st, 9:00 AM

Quantifying Concurrency in a Network in the Spread of STDs

RWEC 107

Statistically, it has been shown that concurrency has a significant impact on how fast an STD will spread through a population. Thus is it necessary to define and measure concurrency, and one way to do so is by applying graph theory. This presentation will focus on looking at three different measurements that can be used to quantify concurrency within a sexual network by using graph theory and basic statistics. Even though, at first glance, the measurements may seem abstract, through the use of graph theory and statistics, they are quite easy to understand.