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OR FORUM—Catching the 'Network Science' Bug: Insight and Opportunity for the Operations Researcher

机译:OR FORUM-捕获“网络科学”错误:运筹学人员的洞察力和机会

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Recent efforts to develop a universal view of complex networks have created both excitement and confusion about the way in which knowledge of network structure can be used to understand, control, or design system behavior. This paper offers perspective on the emerging field of "network science" in three ways. First, it briefly summarizes the origins, methodological approaches, and most celebrated contributions within this increasingly popular field. Second, it contrasts the predominant perspective in the network science literature (that abstracts away domain-specific function and instead focuses on graph-theoretic measures of system structure and dynamics) with that of engineers and practitioners of decision science (who emphasize the importance of network performance, constraints, and trade-offs). Third, it proposes optimization-based reverse engineering to address some important open questions within network science from an operations research perspective. We advocate for increased, yet cautious, participation in this field by operations researchers.
机译:关于开发复杂网络的通用视图的最新努力使人们对使用网络结构知识来理解,控制或设计系统行为的方式既感到兴奋又感到困惑。本文以三种方式提供了对“网络科学”新兴领域的看法。首先,它简要概述了这个日益流行的领域的起源,方法论和最著名的贡献。其次,它与网络科学文献中的主流观点(抽象出特定领域的功能,而侧重于系统结构和动力学的图论测量)与决策科学的工程师和实践者(强调网络的重要性)形成鲜明对比。性能,限制条件和权衡取舍)。第三,它提出了基于优化的逆向工程,从运筹学的角度解决了网络科学中一些重要的开放性问题。我们提倡运营研究人员增加但谨慎地参与该领域。

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