Deducing the Intermal Structure of Hidden Variables from Network Topology.
Abstract
This research is focused on the development of a model of geometric random graphs embedded into the hyperbolic plane, which captures the degree distribution and clustering behavior of many large real world networks. This model aims to build a genuine understanding of what the data is telling us about the biological, social, strategic, economic, and computational processes which underlay its generation.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 11, 2016
- Source ID
- N660011514064
Entities
People
- David Rideout
Organizations
- Defense Advanced Research Projects Agency
- Naval Information Warfare Center Pacific
- University of California, San Diego