Production process networks: a trophic analysis

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Physics Complexity Pub Date : 2023-02-20 DOI:10.1088/2632-072X/acbd7c
Aurélien Hazan
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Abstract

In this article, production process databases originating from environmental sciences, more specifically from life cycle inventory (LCI), are considered as bipartite directed random networks. To model the observed directed hierarchical connection patterns, we turn to recent development concerning trophic coherence. Extending the scope to include bipartite networks, we compare several LCI networks to networks from other fields, and show empirically that they have high coherence and belong to the loopless regime, or close to its boundary.
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生产过程网络:营养分析
在本文中,源自环境科学的生产过程数据库,更具体地说,源自生命周期清单(LCI),被认为是二部分有向随机网络。为了对观察到的定向层次连接模式进行建模,我们转向最近关于营养一致性的发展。将范围扩展到包括二部分网络,我们将几种LCI网络与其他领域的网络进行了比较,并从经验上表明它们具有高度一致性,属于无环状态,或接近其边界。
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
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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