# Dynamics of Social Interactions and Agent Spreading in Social Insects Colonies: Effects of Environmental Events and Spatial Heterogeneity

## TL;DR

This study uses an agent-based model to explore how spatial heterogeneity and environmental factors influence agent spreading in social insect colonies, revealing complex dynamics driven by individual behavior and contact patterns.

## Contribution

It introduces a novel ABM that links spatial heterogeneity and social contact rates to agent spreading dynamics in social insect colonies.

## Key findings

- Spatial heterogeneity correlates linearly with contact rates.
- Agent spreading follows a nonlinear logistic growth model.
- Environmental variations can both inhibit and facilitate agent transmission.

## Abstract

The relationship between division of labor and individuals' spatial behavior in social insect colonies provides a useful context to study how social interactions influence the spreading of agent (which could be information or virus) across distributed agent systems. In social insect colonies, spatial heterogeneity associated with variations of individual task roles, affects social contacts, and thus the way in which agent moves through social contact networks. We used an Agent Based Model (ABM) to mimic three realistic scenarios of agent spreading in social insect colonies. Our model suggests that individuals within a specific task interact more with consequences that agent could potentially spread rapidly within that group, while agent spreads slower between task groups. Our simulations show a strong linear relationship between the degree of spatial heterogeneity and social contact rates, and that the spreading dynamics of agents follow a modified nonlinear logistic growth model with varied transmission rates for different scenarios. Our work provides an important insights on the dual-functionality of physical contacts. This dual-functionality is often driven via variations of individual spatial behavior, and can have both inhibiting and facilitating effects on agent transmission rates depending on environment. The results from our proposed model not only provide important insights on mechanisms that generate spatial heterogeneity, but also deepen our understanding of how social insect colonies balance the benefit and cost of physical contacts on the agents' transmission under varied environmental conditions.