Title of Oral/Poster Presentation

Measuring Networks

Presenter Information

Brandi BushmanFollow

Class

Article

Graduation Year

2019

College

College of Science

Department

Mathematics and Statistics Department

Faculty Mentor

Laura Scull

Presentation Type

Oral Presentation

Abstract

In our modern world networks are becoming an increasingly valid way of displaying data. Networks are relatively new and give a way to study and display large quantities of data so that it is visually dynamic and understandable. Comprised of nodes and edges, they are independent of size and shape which makes them a challenge to describe. A common question that arises when looking at networks is- Which node is the most important? Betweenness Centrality attempts to provide an answer by summing up the number of geodesic paths. We will discuss different ways to mathematically measure Betweeness Centrality as well as introduce a potential new way of measuring networks, called Diversion.

Location

Room 208

Start Date

4-13-2017 1:30 PM

End Date

4-13-2017 2:45 PM

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Apr 13th, 1:30 PM Apr 13th, 2:45 PM

Measuring Networks

Room 208

In our modern world networks are becoming an increasingly valid way of displaying data. Networks are relatively new and give a way to study and display large quantities of data so that it is visually dynamic and understandable. Comprised of nodes and edges, they are independent of size and shape which makes them a challenge to describe. A common question that arises when looking at networks is- Which node is the most important? Betweenness Centrality attempts to provide an answer by summing up the number of geodesic paths. We will discuss different ways to mathematically measure Betweeness Centrality as well as introduce a potential new way of measuring networks, called Diversion.