A generalized incremental bottom-up community detection framework for highly dynamic graphs

Weiyi Liu, Toyotaro Suzumura, Lingli Chen, Guangmin Hu. A generalized incremental bottom-up community detection framework for highly dynamic graphs. In Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo A. Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda, editors, 2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017. pages 3342-3351, IEEE, 2017. [doi]

@inproceedings{LiuSCH17,
  title = {A generalized incremental bottom-up community detection framework for highly dynamic graphs},
  author = {Weiyi Liu and Toyotaro Suzumura and Lingli Chen and Guangmin Hu},
  year = {2017},
  doi = {10.1109/BigData.2017.8258319},
  url = {https://doi.org/10.1109/BigData.2017.8258319},
  researchr = {https://researchr.org/publication/LiuSCH17},
  cites = {0},
  citedby = {0},
  pages = {3342-3351},
  booktitle = {2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017},
  editor = {Jian-Yun Nie and Zoran Obradovic and Toyotaro Suzumura and Rumi Ghosh and Raghunath Nambiar and Chonggang Wang and Hui Zang and Ricardo A. Baeza-Yates and Xiaohua Hu and Jeremy Kepner and Alfredo Cuzzocrea and Jian Tang and Masashi Toyoda},
  publisher = {IEEE},
  isbn = {978-1-5386-2715-0},
}