Szczegóły publikacji

Opis bibliograficzny

Evolution of the computational science community: the dynamics of topics and collaborations in 24 years of ICCS and JoCS publications / Lijing Luo, Klavdiya Bochenina, Tesfamariam M. Abuhay, Nachyn Dorzhu, George Kampis, Sergey Kovalchuk, Valeria Krzhizhanovskaya, Maciej PASZYŃSKI, Clélia de Mulatier, Jack Dongarra, Peter M. A. Sloot // Journal of Computational Science ; ISSN  1877-7503 . — 2025 — vol. 89 art. no. 102609, s. 1-18. — Bibliogr. s. 17-18, Abstr. — Publikacja dostępna online od: 2025-05-10

Autorzy (11)

  • Luo Lijing
  • Bochenina Klavdiya
  • Abuhay Tesfamariam M.
  • Dorzhu Nachyn
  • Kampis George
  • Kovalchuk Sergey V.
  • Krzhizhanovskaya Valeria V.
  • AGHPaszyński Maciej
  • Mulatier Clélia de
  • Dongarra Jack
  • Sloot Peter M. A.

Słowa kluczowe

scientometricstopic modelingnetwork analysiscomputational sciencesJoCSauthor networkICCStopic classificationnatural language processing

Dane bibliometryczne

ID BaDAP160034
Data dodania do BaDAP2025-06-17
Tekst źródłowyURL
DOI10.1016/j.jocs.2025.102609
Rok publikacji2025
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaJournal of Computational Science

Abstract

We analyze the topic structure of 10,299 publications from the International Conference on Computational Science (ICCS) between 2001 and 2024 as well as the Journal of Computational Science (JoCS) between 2010 and 2023, using natural language processing techniques and network analysis. The computational science classification corpus was created into 15 main disciplines and 256 sub-disciplines sourced from Wikipedia. Among the 15 main disciplines, machine learning became the most popular topic after 2019, surpassing parallel & distributed computing, which peaked in the early 2010s. ICCS and JoCS show differences in research popularity in both first and second-level disciplines. Algorithm theory, Mathematical modeling, and network science are the most dominant topics in both ICCS and JoCS. Different disciplines present different trends in ICCS and JoCS. In the past 24 years, machine learning related topics have gained the most attention in both ICCS and JoCS. We also examined and compared the correlation between the trends in ICCS and Google search Trends. The collaboration of disciplinary networks of second-level disciplines exhibits a scale-free characteristic, and the network structures have undergone significant evolution over 24 years. Moreover, different disciplinary communities exhibit different ”introverted” and ”extroverted” community characteristics within the network. Additionally, we examined the life span of thematic workshops and the evolution of authors’ collaborations inside and after ICCS.

Publikacje, które mogą Cię zainteresować

fragment książki
#154314Data dodania: 11.7.2024
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
artykuł
#134678Data dodania: 14.6.2021
20 years of computational science: selected papers from 2020 International Conference on Computational Science / Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej PASZYŃSKI, Gábor Závodszky, Michael H. Lees, Jack Dongarra, Peter M. A. Sloot // Journal of Computational Science ; ISSN 1877-7503. — 2021 — vol. 53 art. no. 101395, s. 1–4. — Bibliogr. s. 4. — Publikacja dostępna online od: 2021-05-27