Affiliation Networks

Since many of the common structures that we use everyday, such as the
Internet, the power grid, and various software components, have complex
networks embedded in them, being able to measure and model these
networks is essential to maintaining their reliability, safety and in
some cases their security. One way to help understand the structure of
certain networks is to examine what common group memberships (or
affiliations) the entities in the network share. Linking entities to
their common affiliations gives an alternative type of network commonly
called an affiliation network.  We will examine some of the useful
properties of affiliation networks, and our efforts in using them in
network modeling and analysis.   In addition, I will spend a few minutes
talking about opportunities at NIST, especially for undergraduate and
doctoral students.

Bio

Brian Cloteaux is a staff researcher at the National Institute of
Standards and Technology in Gaithersburg, Maryland in the Computing and
Communications Theory Group of the Information Technology Laboratory. He
received his PhD in Computer Science from New Mexico State University in
2007 and has previously worked at ExxonMobil in both computing and
research divisions.