Collective motion of groups of self-propelled particles following interacting leaders
Bence Ferdinandy, Katalin Ozog\'any, Tam\'as Vicsek

TL;DR
This paper models the collective motion of leader-follower groups in animal herds, reproducing herd features and revealing limitations of simple interaction models in explaining observed group size distributions.
Contribution
It introduces a self-propelled particle model for two-level animal groups and compares simulation results with real herd data, highlighting the need for more complex social interaction models.
Findings
Model reproduces key herd features including harem formation and leader fights.
Emerging group size distribution in the model is normal, unlike observed lognormal distribution.
Highlights the importance of complex social topology in herd formation.
Abstract
In order to keep their cohesiveness during locomotion gregarious animals must make collective decisions. Many species boast complex societies with multiple levels of communities. A common case is when two dominant levels exist, one corresponding to leaders and the other consisting of followers. In this paper we study the collective motion of such two-level assemblies of self-propelled particles. We present a model adapted from one originally proposed to describe the movement of cells resulting in a smoothly varying coherent motion. We shall use the terminology corresponding to large groups of some mammals where leaders and followers form a group called a harem. We study the emergence (self-organization) of sub-groups within a herd during locomotion by computer simulations. The resulting processes are compared with our prior observations of a Przewalski horse herd (Hortob\'agy, Hungary)…
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