Measuring Networks
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
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.