2019 journal article
Betweenness centrality as predictor for forces in granular packings
Soft Matter.
TL;DR:
It is found that total pressure on each particle in the system correlates to its betweenness centrality value extracted from the geometric contact network, and the mesoscale network structure is a key control on individual particle pressures.
(via Semantic Scholar)
arxiv.org (repository)
Source: ORCID
Added: January 29, 2019
A load applied to a jammed frictional granular system is localized into a network of force chains making inter-particle connections throughout the system. While this force network is not unique, likely patterns can be predicted using metric known as betweenness centrality.