Software for article "Two simple movement mechanisms for spatial division of labour in social insects" (https://www.nature.com/articles/s41467-022-34706-7). Code-Analysis 'code-analysis.zip' contains a pipeline for processing the trajectories contained in Dryad repository https://doi.org/10.5061/dryad.9w0vt4bjb. As well as ancillary scripts and inputs, this pipeline consists of three R scripts: 1_Bipartite_Spatial_Fidelity-Per-Site_Statistics.R This counts the number of times each individual visited each site in the nest. 2_Bipartite_Spatial_Fidelity-Community_Detection.R This uses the site-visit counts to construct bipartite spatial network for a given colony. It then repeatedly performs community detection on the site-visit network, resulting many different partitions of the network. 3_Bipartite_Spatial_Fidelity-Stochastic_Partitions.R This script calculates the continuous module scores from the many partitions. Code-Simulations 'code-simulations.zip' contains two files; an R script, 'Synthetic_trajectory_model.R' which calls a c++ program, 'Trajectory_model_cpp_functions.cpp'. These files generate synthetic spatial trajectories. Parameters for controlling agent movement are entered by the user on lines 19-77 of the R script. Parameters are currently set to measured parameters for the ant Leptothorax acervorum. The mechanisms that are simulated (focal point attraction, locomotion adjustment, or boundary effect, or any combination between the three), is determined by setting arguments focal_point_attraction, locomotion_adjustment or boundary_effect to TRUE or FALSE on lines 12-14 of the script. Setting all three parameters to FALSE will result in a correlated random walk being simulated. In the R script, users should set the working directory (WD, line 9) to the same directory in which the R and C++ files have been saved.

Individual trajectories collected by automated tracking using barcode tags. See the paper and Supplementary Information for details on the tracking.