Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2019
Abstract
The recent growth of the building performance research community has been in parallel with the onebuilding.org Bldg-sim email list. This list was formed in 1999 and steadily grew into a major venue for building simulation community announcements, discussions, and questions and answers (Q&A). This paper presents an analysis of the Bldg-sim email archive to determine how traffic has grown over the years and what general trends have come and gone in this particular user community. We use a text mining approach to find the most prominent topics over the years and create trend metrics from the frequency of the most common words from those topics. The results illustrate the relative rise and fall of various software tools, organizations, and simulation topics from the portion of the simulation community who used the email list. Visualizations showing the trends are presented and discussed. The paper also discusses the generalizability of results as it should be noted that the users of this email list are primarily Englishspeaking simulation practitioners from North America. All data and code used in this analysis are available in a reproducible GitHub repository.
Keywords
Trends in simulation, bldg-sim
Discipline
Engineering | Environmental Design
Research Areas
Integrative Research Areas
Publication
Proceedings of the 16th Conference of the International Building Performance Simulation Association (Building Simulation 2019), Rome, Italy, September 2-4
First Page
1522
Last Page
1529
Identifier
10.26868/25222708.2019.211087
Publisher
IBPSA
City or Country
Rome, Italy
Citation
MILLER, Clayton; QUINTANA, Matias; and GLAZER, Jason.
Twenty years of building simulation trends: Text mining and topic modeling of the Bldg-sim email list archive. (2019). Proceedings of the 16th Conference of the International Building Performance Simulation Association (Building Simulation 2019), Rome, Italy, September 2-4. 1522-1529.
Available at: https://ink.library.smu.edu.sg/cis_research/627
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.26868/25222708.2019.211087