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https://hdl.handle.net/1959.11/58376
Title: | An examination of force maps targeted at orientation interactions in moving groups |
Contributor(s): | Mudaliar, Rajnesh K (author); Schaerf, Timothy M (author) |
Publication Date: | 2023 |
Open Access: | Yes |
DOI: | 10.1371/journal.pone.0286810 |
Handle Link: | https://hdl.handle.net/1959.11/58376 |
Abstract: | | Force mapping is an established method for inferring the underlying interaction rules thought to govern collective motion from trajectory data. Here we examine the ability of force maps to reconstruct interactions that govern individual's tendency to orient, or align, their heading within a moving group, one of the primary factors thought to drive collective motion, using data from three established general collective motion models. Specifically, our force maps extract how individuals adjust their direction of motion on average as a function of the distance to neighbours and relative alignment in heading with these neighbours, or in more detail as a function of the relative coordinates and relative headings of neighbours. We also examine the association between plots of local alignment and underlying alignment rules. We find that the simpler force maps that examined changes in heading as a function of neighbour distances and differences in heading can qualitatively reconstruct the form of orientation interactions, but also overestimate the spatial range over which these interactions apply. More complex force maps that examine heading changes as a function of the relative coordinates of neighbours (in two spatial dimensions), can also reveal underlying orientation interactions in some cases, but are relatively harder to interpret. Responses to neighbours in both the simpler and more complex force maps are affected by group-level patterns of motion. We also find a correlation between the sizes of regions of high alignment in local alignment plots and the size of the region over which alignment rules apply when only an alignment interaction rule is in action. However, when data derived from more complex models is analysed, the shapes of regions of high alignment are clearly influenced by emergent patterns of motion, and these regions of high alignment can appear even when there is no explicit direct mechanism that governs alignment.
Publication Type: | Journal Article |
Source of Publication: | PLoS One, 18(9), p. 1-31 |
Publisher: | Public Library of Science |
Place of Publication: | United States of America |
ISSN: | 1932-6203 |
Fields of Research (FoR) 2020: | 4901 Applied mathematics |
Socio-Economic Objective (SEO) 2020: | tbd |
Peer Reviewed: | Yes |
HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
Appears in Collections: | Journal Article School of Science and Technology
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