Bio-Inspired Human Network Design: A Multi-Currency Robustness Metric Inspired by Ecological Network Analysis

Abheek Chatterjee, A. Layton
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引用次数: 6

Abstract

The Ecological Network Analysis (ENA) metric ecological robustness quantifies the unique balance that biological food webs have between their pathway efficiency and redundancy, enabling them to maximize their robustness to system disturbances. This robustness is a potentially desirable quality for human systems to mimic. Modeling the interactions between actors in human networks as predator-prey type exchanges (of a medium or currency rather than caloric exchanges) enables an ENA analysis. ENA has been shown to be a useful tool in improving the design of human networks because it allows the characteristics of biological networks to be mimicked. The application of these metrics is, however, limited to networks with only one flow type. Human networks are composed of many different types of flow interactions and thus a biologically-inspired indicator of total system robustness must take into account all of these interactions. This work further develops the traditional ENA ecological robustness metric to accommodate various flows between actors in multi-currency human networks. Two novel methods for quantifying multi-currency flow network robustness are introduced. The mathematical formulation for these new metrics is presented. The water network for the Kalundborg Eco-Industrial Park (EIP) is used as a case study to determine the benefits of the proposed robustness metrics. The results obtained using the single-currency robustness and the two multi-currency robustness metrics are compared using the case study. Based on the analysis of the results obtained at the system level, as well as at the sub-levels, both multi-currency metrics showed the ability to predict systems characteristics for the multi-currency Kalundborg EIP. While both of these are promising, more research regarding these metrics is needed in order to develop an elegant and comprehensive total system robustness metric.
仿生人类网络设计:受生态网络分析启发的多币种鲁棒性度量
生态网络分析(ENA)度量生态鲁棒性量化了生物食物网在其路径效率和冗余之间的独特平衡,使它们能够最大限度地增强对系统干扰的鲁棒性。这种鲁棒性是人类系统模仿的潜在理想品质。将人类网络中参与者之间的相互作用建模为捕食者-猎物类型交换(媒介或货币而不是热量交换),可以实现ENA分析。ENA已被证明是改进人类网络设计的有用工具,因为它允许模仿生物网络的特征。然而,这些指标的应用仅限于只有一种流类型的网络。人类网络是由许多不同类型的流动相互作用组成的,因此,一个受生物学启发的总系统鲁棒性指标必须考虑到所有这些相互作用。这项工作进一步发展了传统的ENA生态稳健性指标,以适应多货币人际网络中行动者之间的各种流动。介绍了两种量化多货币流网络鲁棒性的新方法。给出了这些新指标的数学表达式。本文以卡伦堡生态工业园区(EIP)的供水网络为例进行研究,以确定所提出的稳健性指标的效益。通过实例分析比较了单货币鲁棒性指标和两种多货币鲁棒性指标的结果。基于对系统级别以及子级别上获得的结果的分析,两种多货币指标都显示出预测多货币Kalundborg EIP系统特征的能力。虽然这两个指标都很有前途,但为了开发一个优雅而全面的总体系统健壮性指标,还需要对这些指标进行更多的研究。
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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