Szczegóły publikacji
Opis bibliograficzny
Trends in computational science: natural language processing and network analysis of 23 years of ICCS publications / Lijing Luo, Sergey Kovalchuk, Valeria Krzhizhanovskaya, Maciej PASZYŃSKI, Clélia de Mulatier, Jack Dongarra, Peter M. A. Sloot // W: Computational Science – ICCS 2024 : 24th International Conference : Malaga, Spain, July 2–4, 2024 : proceedings, Pt. 2 / eds. Leonardo Franco, [et al.]. — Cham : Springer, cop. 2024. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; 14833). — ISBN: 978-3-031-63753-7; e-ISBN: 978-3-031-63751-3. — S. 19–33. — Bibliogr., Abstr. — Publikacja dostępna online od: 2024-06-27
Autorzy (7)
- Luo Lijing
- Kovalchuk Sergey V.
- Krzhizhanovskaya Valeria V.
- AGHPaszyński Maciej
- Mulatier Clélia de
- Dongarra Jack
- Sloot Peter M. A.
Dane bibliometryczne
| ID BaDAP | 154314 |
|---|---|
| Data dodania do BaDAP | 2024-07-11 |
| DOI | 10.1007/978-3-031-63751-3_2 |
| Rok publikacji | 2024 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Computational Science 2024 |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
We analyze 7826 publications from the International Conference on Computational Science (ICCS) between 2001 and 2023 using natural language processing and network analysis. We categorize computer science into 13 main disciplines and 102 sub-disciplines sourced from Wikipedia. After lemmatizing full texts of these papers, we calculate the similarity scores between the papers and each sub-discipline using vectors built with TF-IDF evaluation. Among the 13 main disciplines, machine learning & AI have become the most popular topics since 2019, surpassing parallel & distributed computing, which peaked in the early 2010 s. Modeling & simulation, and algorithms & data structure have always been popular disciplines in ICCS over the past 23 years. The most frequently researched sub-disciplines, on average, are algorithms, numerical analysis, and machine learning. Deep learning shows the most rapid growth, while parallel computing has declined over the past 23 years in ICCS publications. The network of sub-disciplines exhibits a scale-free distribution, indicating certain disciplines are more connected than others. We also present correlation analysis of sub-disciplines, both within the same main disciplines and between different main disciplines.
