TY - JOUR
T1 - Intra- versus intergroup variance in collective behavior
AU - Knebel, D.
AU - Ayali, A.
AU - Guershon, M.
AU - Ariel, G.
N1 - Publisher Copyright:
Copyright © 2019 The Authors, some rights reserved.
PY - 2019
Y1 - 2019
N2 - Animal collective motion arises from the intricate interactions between the natural variability among individuals, and the homogenizing effect of the group, working to generate synchronization and maintain coherence. Here, these interactions were studied using marching locust nymphs under controlled laboratory settings. A novel experimental approach compared single animals, small groups, and virtual groups composed of randomly shuffled real members. We found that the locust groups developed unique, group-specific behavioral characteristics, reflected in large intergroup and small intragroup variance (compared with the shuffled groups). Behavioral features that differed between single animals and groups, but not between group types, were classified as essential for swarm formation. Comparison with Markov chain models showed that individual tendencies and the interaction network among animals dictate the group characteristics. Deciphering the bidirectional interactions between individual and group properties is essential for understanding the swarm phenomenon and predicting large-scale swarm behaviors.
AB - Animal collective motion arises from the intricate interactions between the natural variability among individuals, and the homogenizing effect of the group, working to generate synchronization and maintain coherence. Here, these interactions were studied using marching locust nymphs under controlled laboratory settings. A novel experimental approach compared single animals, small groups, and virtual groups composed of randomly shuffled real members. We found that the locust groups developed unique, group-specific behavioral characteristics, reflected in large intergroup and small intragroup variance (compared with the shuffled groups). Behavioral features that differed between single animals and groups, but not between group types, were classified as essential for swarm formation. Comparison with Markov chain models showed that individual tendencies and the interaction network among animals dictate the group characteristics. Deciphering the bidirectional interactions between individual and group properties is essential for understanding the swarm phenomenon and predicting large-scale swarm behaviors.
UR - http://www.scopus.com/inward/record.url?scp=85059495846&partnerID=8YFLogxK
U2 - 10.1126/sciadv.aav0695
DO - 10.1126/sciadv.aav0695
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C2 - 30613780
AN - SCOPUS:85059495846
SN - 2375-2548
VL - 5
JO - Science advances
JF - Science advances
IS - 1
M1 - eaav0695
ER -