Exploring over a decade of systems engineering research center: A community detection and text analytics approach

Araceli Zavala, Dinesh Verma, Jose E. Ramirez Marquez
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Abstract

The Systems Engineering Research Center (SERC) is a University Affiliated Research Center (UARC) of the US Department of Defense (DoD) formed in 2008 with more than 20 collaborator universities in the United States. Over the last decade, SERC has conducted research with Principal Investigators from universities within the SERC network, as reflected in technical reports (TR). These reports describe detailed information and analysis of the conducted research for every project under SERC support, such as written records of experiments or results of a scientific project. We analyzed the TRs from 2009 to early 2023 to identify research streams, topics, and evolution in systems engineering (SE) research using text mining and network analysis techniques, such as Louvain Community Detection and word similarity. As a result, we identified four major research streams over a decade of research projects, along with insights about topics and the evolution of SE within this time frame. Finally, we distinguished most profile authors and their most significant collaborations and networks.
探索十多年的系统工程研究中心:社群检测和文本分析方法
系统工程研究中心(SERC)是美国国防部(DoD)的大学附属研究中心(UARC),成立于 2008 年,与美国 20 多所大学有合作关系。在过去十年中,SERC 与来自 SERC 网络内各大学的首席研究员共同开展了多项研究,这些研究成果反映在技术报告 (TR) 中。这些报告描述了在 SERC 支持下开展的每个项目的详细信息和研究分析,如科学项目的实验或结果的书面记录。我们分析了 2009 年至 2023 年初的技术报告,利用文本挖掘和网络分析技术(如卢万共同体检测和词相似性)确定了系统工程(SE)研究的研究流、主题和演变。结果,我们在十年的研究项目中确定了四大研究流,并对这一时期内系统工程的主题和演变有了深入的了解。最后,我们区分了最重要的作者及其最重要的合作和网络。
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