pyRoCS: A Python package to evaluate the resilience of complex systems

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-21 DOI:10.1016/j.softx.2024.101977

Amanda Wachtel, Thushara Gunda, Susan Caskey, Ryan Cooper, Thomas Womack, Kirk Bonney, Kenneth Kliesner

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引用次数: 0

Abstract

This paper introduces pyRoCS, an open source Python-based software that enables users to quantify resilience of complex systems. The metrics used to quantify resilience are sourced from peer-reviewed publications across multiple domains, including information theory, biosciences, and complex systems. Functions within associated domain modules can be combined based on user needs to support the characterization of resilience. Data structures from various domains (e.g., media coverage, organizational structures, and hazard analyses in critical infrastructures) could be analyzed using metrics within pyRoCS, including those collected in the field or derived from modeling and simulations. The conversion of these existing metrics into a formal software package increases the robustness and transparency of current implementations. Furthermore, the inclusion of multiple disciplinary metrics enables exploration of how resilience concepts are translated into practice, an area of interest in multiple domains.

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pyRoCS：评估复杂系统复原力的 Python 软件包

本文介绍了 pyRoCS，这是一款基于 Python 的开源软件，可帮助用户量化复杂系统的复原力。用于量化复原力的指标来自多个领域的同行评审出版物，包括信息论、生物科学和复杂系统。相关领域模块内的功能可根据用户需求进行组合，以支持复原力特征描述。来自不同领域的数据结构（如媒体报道、组织结构和关键基础设施的危害分析）可以使用 pyRoCS 中的指标进行分析，包括在现场收集的指标或从建模和模拟中得出的指标。将这些现有指标转化为正式的软件包，可以提高当前实施的稳健性和透明度。此外，纳入多个学科指标还能探索如何将复原力概念转化为实践，这是多个领域都感兴趣的领域。

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

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.