ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives

Hamed Rahimi, Hubert Naacke, Camélia Constantin, Bernd Amann. ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives. In Hocine Cherifi, Luis M. Rocha, Chantal Cherifi, Murat Donduran, editors, Complex Networks & Their Applications XII - Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Menton, France, 28-30 November, 2023, Volume 3. Volume 1143 of Studies in Computational Intelligence, pages 332-343, Springer, 2023. [doi]

@inproceedings{RahimiNCA23,
  title = {ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives},
  author = {Hamed Rahimi and Hubert Naacke and Camélia Constantin and Bernd Amann},
  year = {2023},
  doi = {10.1007/978-3-031-53472-0_28},
  url = {https://doi.org/10.1007/978-3-031-53472-0_28},
  researchr = {https://researchr.org/publication/RahimiNCA23},
  cites = {0},
  citedby = {0},
  pages = {332-343},
  booktitle = {Complex Networks & Their Applications XII - Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Menton, France, 28-30 November, 2023, Volume 3},
  editor = {Hocine Cherifi and Luis M. Rocha and Chantal Cherifi and Murat Donduran},
  volume = {1143},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-031-53472-0},
}