Jul 28, 2014

Agent-based simulation for reconstructing social structure by observing collective movements with special reference to single-file movement

BioRxiv : the Preprint Server for Biology
Keisha Dawn CarlsonChristine Queitsch

Abstract

Understanding social organization is fundamental for the analysis of animal societies. In this study, animal single-file movement data \---| serialized order movements generated by simple bottom-up rules of collective movements \---| are informative and effective observations for the reconstruction of animal social structures using agent-based models. For simulation, artificial 2-dimensional spatial distributions were prepared with the simple assumption of clustered structures of a group. Animals in the group are either independent or dependent agents. Independent agents distribute spatially independently each one another, while dependent agents distribute depending on the distribution of independent agents. Artificial agent spatial distributions aim to represent clustered structures of agent locations \---| a coupling of "core" or "keystone" subjects and "subordinate" or "follower" subjects. Collective movements were simulated following two simple rules, 1) initiators of the movement are randomly chosen, and 2) the next moving agent is always the nearest neighbor of the last moving agents, generating "single-file movement" data. Finally, social networks were visualized, and clustered structures reconstructed using a recent maj...Continue Reading

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