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Developing a Topic Network of Published Systems Engineering Research
Author(s) -
Oosthuizen Rudolph
Publication year - 2021
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2021.00837.x
Subject(s) - computer science , data science , plan (archaeology) , engineering research , management science , engineering , archaeology , history , telecommunications
This paper investigates past systems engineering research structure by developing a network of research topics from an extensive corpus of publications. The bibliometric data analysis from the published research articles provides valuable information on past progress and future scientific discipline opportunities. Topic modelling, a form of unsupervised machine‐learning‐based natural language processing, is applied to extract the main topics from the titles and abstracts of a wide range of papers published about systems engineering. The co‐occurrence of research topics in these papers provides the data for generating network diagrams. A visual and quantitative network analysis of these topics revealed several cliques and clusters of research topics in systems engineering. Systems engineering researchers should consider these relationships between these research topics to plan a systems engineering research project.