Modelling group navigation: transitive social structures improve navigational performance
Andrea Flack, Dora Biro, Tim Guilford, Robin Freeman

TL;DR
This paper explores how social structures within groups affect their ability to navigate together, finding that hierarchical social systems improve navigation accuracy.
Contribution
The study introduces social network structures into collective motion models to show how social organization impacts group navigation.
Findings
Groups with hierarchical organization and minimal preferred connections per individual achieve highest navigational accuracy.
Navigational accuracy depends on social organization and how much leaders follow others.
Certain social structures can better compensate for increased navigational errors.
Abstract
Collective navigation demands that group members reach consensus on which path to follow, a task that might become more challenging when the group's members have different social connections. Group decision-making mechanisms have been studied successfully in the past using individual-based modelling, although many of these studies have neglected the role of social connections between the group's interacting members. Nevertheless, empirical studies have demonstrated that individual recognition, previous shared experiences and inter-individual familiarity can influence the cohesion and the dynamics of the group as well as the relative spatial positions of specific individuals within it. Here, we use models of collective motion to study the impact of social relationships on group navigation by introducing social network structures into a model of collective motion. Our results show that…
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Taxonomy
TopicsEvacuation and Crowd Dynamics · Evacuation and Crowd Dynamics · Social Robot Interaction and HRI
