Our collective work emphasises that simply delivering information to individuals is not sufficient. What matters is how that information flows through social ties, how behaviours get modelled, how social norms change, and how network position influences exposure and uptake. For example:

• Interventions that identify and train key “influence agents” or “peer leaders” can shape network dynamics and behaviour change.
• Mapping a person’s social network or community network and then linking them to resources or support can augment connectedness, reinforcing behaviour change.
• Community- or group-based interventions that create new ties, or strengthen existing networks (rather than simply existing one‐to‐one dyads) may generate broader diffusion and longer-lasting impact.

In doing so, our work bridges behavioural science (individuals) and network science (structures, ties, positions).