A dynamic key node learning algorithm in evolving financial network: case study during the period of coronavirus

Doudou Lu, Wei Deng, Yongyin Xu, Yong Shi 0001. A dynamic key node learning algorithm in evolving financial network: case study during the period of coronavirus. In Yong Shi 0001, Jianping Li 0001, Gang Kou, Daniel Berg, James M. Tien, editors, Proceedings of the 9th International Conference on Information Technology and Quantitative Management, ITQM 2022, Global Green Digital Economy: Challenges and Development, December 9-11, 2022, Beijing, China. Volume 214 of Procedia Computer Science, pages 1587-1594, Elsevier, 2022. [doi]

@inproceedings{LuDX022,
  title = {A dynamic key node learning algorithm in evolving financial network: case study during the period of coronavirus},
  author = {Doudou Lu and Wei Deng and Yongyin Xu and Yong Shi 0001},
  year = {2022},
  doi = {10.1016/j.procs.2022.11.347},
  url = {https://doi.org/10.1016/j.procs.2022.11.347},
  researchr = {https://researchr.org/publication/LuDX022},
  cites = {0},
  citedby = {0},
  pages = {1587-1594},
  booktitle = {Proceedings of the 9th International Conference on Information Technology and Quantitative Management, ITQM 2022, Global Green Digital Economy: Challenges and Development, December 9-11, 2022, Beijing, China},
  editor = {Yong Shi 0001 and Jianping Li 0001 and Gang Kou and Daniel Berg and James M. Tien},
  volume = {214},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}