English

Building upon Fast Multipole Methods to Detect and Model Organizations

Artificial Intelligence 2009-10-08 v2

Abstract

Many models in natural and social sciences are comprised of sets of inter-acting entities whose intensity of interaction decreases with distance. This often leads to structures of interest in these models composed of dense packs of entities. Fast Multipole Methods are a family of methods developed to help with the calculation of a number of computable models such as described above. We propose a method that builds upon FMM to detect and model the dense structures of these systems.

Keywords

Cite

@article{arxiv.0910.1014,
  title  = {Building upon Fast Multipole Methods to Detect and Model Organizations},
  author = {Pierrick Tranouez and Antoine Dutot},
  journal= {arXiv preprint arXiv:0910.1014},
  year   = {2009}
}
R2 v1 2026-06-21T13:54:44.118Z