# Measuring Networks

Article

2019

## College

College of Science

## Department

Mathematics and Statistics Department

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.

Room 208

## Start Date

4-13-2017 1:30 PM

## End Date

4-13-2017 2:45 PM

## Share

COinS

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.