Coordinated responses in eusocial insect colonies arise from worker interaction networks that enable collective processing of ecologically relevant information. Previous studies have detected a structural motif in these networks known as the feed-forward loop, which functions to process information in other biological regulatory networks (e.g., transcriptional networks). However, the processes that generate feed-forward loops among workers and the consequences for information flow within the colony remain largely unexplored. We constructed an agent-based model to investigate how individual variation in activity and movement shaped production of feed-forward loops in a simulated insect colony. We hypothesised that individual variation along these axes would generate feed-forward loops by driving variation in interaction frequency among workers. We found that among-individual variation in activity drove overrepresentation of feed-forward loops in the interaction networks by determining the directionality of interactions. However, despite previous work linking feed-forward loops with efficient information transfer, activity variation did not promote faster or more efficient information flow, thus providing no support for the hypothesis that feed-forward loops reflect selection for enhanced collective functioning. Conversely, individual variation in movement trajectory, despite playing no role in generating feed-forward loops, promoted fast and efficient information flow by linking together unconnected regions of the nest.

Data was collected using the Netlogo agent-based simulation available from the Zenodo software repository: https://doi.org/10.5281/zenodo.5931784

Using this model, we examined how among-individual variations in activity and turning indices influenced the production of feed-forward loops within the population social network. This dataset includes all the data and R code required to reproduce our analysis and figures. Full details on the analysis can be found in the manuscript. 

The agent-based model can be downloaded from the Zenodo software repository: https://doi.org/10.5281/zenodo.5931784

Please refer to README file for usage information and additional details.