Artificial Intelligence Conferences Closeness

IJCAI 2018 pp. 5158-5164

doi:10.24963/IJCAI.2018/715 /ijcai/2018/konieczny2018ijcai-artificial/

Abstract

We study the evolution of Artificial Intelligence conference closeness, using the coscinus tool. Coscinus computes the closeness between publication supports using the co-publication habits of authors: the more authors publish in two conferences, the closer these two conferences. In this paper we perform an analysis of the main Artificial Intelligence conferences based on principal components analysis and clustering performed on this closeness relation.

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Cite

Text

Konieczny and Lonca. "Artificial Intelligence Conferences Closeness." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/715

Markdown

[Konieczny and Lonca. "Artificial Intelligence Conferences Closeness." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/konieczny2018ijcai-artificial/) doi:10.24963/IJCAI.2018/715

BibTeX

@inproceedings{konieczny2018ijcai-artificial,
  title     = {{Artificial Intelligence Conferences Closeness}},
  author    = {Konieczny, Sébastien and Lonca, Emmanuel},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {5158-5164},
  doi       = {10.24963/IJCAI.2018/715},
  url       = {https://mlanthology.org/ijcai/2018/konieczny2018ijcai-artificial/}
}