A community-detection based approach to identification of inhomogeneities in granular matter

Robertas Navakas, Algis Džiugys and Bernhard Peters

Physica A: Statistical Mechanics and its Applications, 2014, vol. 407, issue C, 312-331

Abstract: Interparticle interactions in granular matter are commonly represented by appropriate graphs, therefore, inhomogeneities in granular matter can be possibly reflected by community structure in the respective graphs. Approaches and algorithms for community detection are being actively developed and the achievements in this area can be utilized for analysis of granular systems, where bridging the gap from microscopic configuration to macroscopic phenomena is of great interest.

Keywords: Granular matter; Community detection; Discrete Element Modelling (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:407:y:2014:i:c:p:312-331

DOI: 10.1016/j.physa.2014.04.003

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