1. Network Search & Visualization
Volunteer:
Caroline Lahti
UC Santa Barbara
3rd Year, Mathematical Sciences
Mentor:
Dr. Ralucca Gera
Department of Mathematics, NPS
Project Dates: 7/20– 8/12
Results , Accomplishments , and Next Steps
(above) Implemented community detection on NPS network visualization website, using JavaScript and HTML/CSS.
(left) Programmed an algorithm (Multilayered Connotation Discovery Algorithm, or MultiConn) that successfully searches through a large network. The algorithm’s efficiency is comparable to that of previously established searches; however, MultiConn is currently in a period of refinement.
Project Objective and Research Approach
Aim: Develop algorithm to efficiently discover nodes of interest hidden in a dense, multilayered social network
Data: Social networks of various sizes and types
Methodology: Construct one multilayered social network and run unique algorithm to discover predetermined nodes of interest, using Python, NetworkX, and Gephi
Distribution type Type