The goal of this project was to find a better solution for the influence maximization problem in a faster and more accurate manner than the current leading algorithms. We utilized deep learning models to accomplish this goal. The results revealed a significant improvement in time efficiency, while maintaining a slightly better accuracy.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Gonsalves, Manuel Santana
• Corse, James Andrew
• McKay, Daniel Bowen

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-032219-113023

Advisor

• Kong, Xiangnan

Year

• 2019

Date created

• 2019-03-22

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright