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Rutgers University

Title: Applying Graphs to Twitter and Brain Connectivity

Directors: Eugene Fiorini, Urmi Ghosh-Dastidar, James Abello

Dates of Program: June 2 - August 1, 2014

Summary:

This project explores the core concepts of graph theory, algorithms, and their applications to social needs to empower undergraduates from underrepresented and economically disadvantaged groups to become agents of change in their communities. The projects involve comparison techniques of weighted graphs to analyze brain connectivity and applying time-varying graph properties to social media to formulate computational and algorithmic challenges associated with the social and economic needs of the students’ communities. Students from San Diego City College and New York City College of Technology will form research teams, joined by additional students participating in the LSAMP and DIMACS REU program, to work on each problem.

Student Researchers Supported by MAA:

Thierno Adouma Diallo
Atl Arredondo
Hector Fernando Rodriguez Macias
Jose Luis Ramirez

Program Contact:

Lloyd Douglas
MAA NREUP

Support for NREUP is provided by the National Science Foundation's Division of Mathematical Sciences.

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