Finding K-Most Influential Users in Social Networks for Information Diffusion Based on Network Structure and Different User Behavioral Patterns

Maryam Shahsavari, Alireza Hashemi Golpayegani. Finding K-Most Influential Users in Social Networks for Information Diffusion Based on Network Structure and Different User Behavioral Patterns. In Omar Hussain, Lihong Jiang, Xiang Fei, Ci-Wei Lan, Kuo-Ming Chao, editors, 14th IEEE International Conference on e-Business Engineering, ICEBE 2017, Shanghai, China, November 4-6, 2017. pages 220-225, IEEE Computer Society, 2017. [doi]

@inproceedings{ShahsavariG17,
  title = {Finding K-Most Influential Users in Social Networks for Information Diffusion Based on Network Structure and Different User Behavioral Patterns},
  author = {Maryam Shahsavari and Alireza Hashemi Golpayegani},
  year = {2017},
  doi = {10.1109/ICEBE.2017.42},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICEBE.2017.42},
  researchr = {https://researchr.org/publication/ShahsavariG17},
  cites = {0},
  citedby = {0},
  pages = {220-225},
  booktitle = {14th IEEE International Conference on e-Business Engineering, ICEBE 2017, Shanghai, China, November 4-6, 2017},
  editor = {Omar Hussain and Lihong Jiang and Xiang Fei and Ci-Wei Lan and Kuo-Ming Chao},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-1412-9},
}