Discovery Park Undergraduate Research Internship Program

"Visualizing and Mining Large Social Computing Datasets to Uncover the Social Structure of Online Collaboration"

About the Project

Project Time & Type:
Fall 2014 - DURI
Research area(s):
computer science, electrical engineering, sociology, social interaction, computer programming, web design
Project Description:
We are in the process of mining the Wikipedia and other social media revision databases (several million data points) to create a social network of interactions between social media editors. We are using the Coates node and a set of Java programs to parse out the relationships between social media editors, to measure the strength or their connections, and to create a social network. We utilize social network analysis to determine how the network has evolved over time and if it has become more or less decentralized.
Expected Student Contributions:
The student will work with a team of faculty and graduate students from a diversity of disciplines to improve and manage data mining processes. The student will participate in strategy sessions, will do some independent research, will report back his or her findings, and will work with the other team members to improve the analytic software and to manage the analysis process.
Related Website(s):
http://veffort.us http://kredible.net
Desired Qualifications:
We are seeking a strong programmer with good Java and or Python programming skills and an interest in data mining. Computer Engineering majors preferred, but other majors can also apply. Individuals who have been working on real-life data mining projects are preferred.
Estimated Weekly Hours:
9
Department awards independent research credits for this project?
Yes, 2 credit hours

Professor in Charge

Name:
Matei, Sorin
Deptartment/College:
communication

Student Supervisor

Name:
Sorin Matei
Title:
Associate Professor

Cooperating Faculty

Name:
Elisa Bertino
Deptartment/College:
Computer Science