License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FUN.2022.21
URN: urn:nbn:de:0030-drops-159913
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/15991/
Go to the corresponding LIPIcs Volume Portal


Mathieu, Fabien ; Tixeuil, Sébastien

Fun with FUN

pdf-format:
LIPIcs-FUN-2022-21.pdf (0.7 MB)


Abstract

The notions of scientific community and research field are central elements for researchers and the articles they publish. We propose to explore the evolution of the FUN conference community since its creation from the articles listed in DBLP, authors, program committees, and advertised themes, by means of a novel symmetric embedding, and carefully crafted software tools. Our results make it possible on the one hand to better understand the evolution of the community, and on the other hand to easily integrate new themes or researchers during future editions.

BibTeX - Entry

@InProceedings{mathieu_et_al:LIPIcs.FUN.2022.21,
  author =	{Mathieu, Fabien and Tixeuil, S\'{e}bastien},
  title =	{{Fun with FUN}},
  booktitle =	{11th International Conference on Fun with Algorithms (FUN 2022)},
  pages =	{21:1--21:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-232-7},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{226},
  editor =	{Fraigniaud, Pierre and Uno, Yushi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/15991},
  URN =		{urn:nbn:de:0030-drops-159913},
  doi =		{10.4230/LIPIcs.FUN.2022.21},
  annote =	{Keywords: Natural Language Processing, Relevance Propagation, Bibliometry, Community, Scientific Fields}
}

Keywords: Natural Language Processing, Relevance Propagation, Bibliometry, Community, Scientific Fields
Collection: 11th International Conference on Fun with Algorithms (FUN 2022)
Issue Date: 2022
Date of publication: 23.05.2022
Supplementary Material: Software (Source Code): https://github.com/balouf/conference_analysis/tree/main/FUN archived at: https://archive.softwareheritage.org/swh:1:dir:8b96e766c426c12f0b9a7901b52230bc09d04a8b


DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI