Calibrating coupling for collaboration with Kuramoto.

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Alexander C Kalloniatis, Timothy McLennan-Smith
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引用次数: 0

Abstract

We calibrate a Kuramoto-model-inspired representation of peer-to-peer collaboration using data on the maximum team size where coordination breaks down. The Kuramoto model is modified, normalizing the coupling by the degree of input and output nodes, reflecting dispersion of cognitive resources in both absorbing incoming- and tracking outgoing-information. We find a critical point, with loss of synchronization as the number of nodes grows and analytically determine this point and calibrate the coupling with the known maximum team size. We test that against the known "span of control" for a leader/supervisor organization. Our results suggest larger maximum team sizes than early management science proposes, but are consistent with studies that focus only the relationship between supervisor and subordinates, excluding other internal interactions in the team.

与Kuramoto合作的校准耦合。
我们使用协作中断的最大团队规模的数据校准了受仓本模型启发的点对点协作表示。对Kuramoto模型进行了改进,通过输入和输出节点的程度对耦合进行了规范化,反映了认知资源在吸收输入和跟踪输出信息时的分散。我们找到一个临界点,随着节点数量的增加而失去同步,并分析地确定这个点,并与已知的最大团队规模校准耦合。我们根据已知的领导/主管组织的“控制范围”进行测试。我们的研究结果表明,团队的最大规模比早期管理科学提出的更大,但与只关注上级和下属之间关系的研究一致,排除了团队中其他内部互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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