Entropy-Based Measure for Influence Maximization in Temporal Networks

Radoslaw Michalski, Jaroslaw Jankowski, Patryk Pazura. Entropy-Based Measure for Influence Maximization in Temporal Networks. In Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira, editors, Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part IV. Volume 12140 of Lecture Notes in Computer Science, pages 277-290, Springer, 2020. [doi]

@inproceedings{MichalskiJP20,
  title = {Entropy-Based Measure for Influence Maximization in Temporal Networks},
  author = {Radoslaw Michalski and Jaroslaw Jankowski and Patryk Pazura},
  year = {2020},
  doi = {10.1007/978-3-030-50423-6_21},
  url = {https://doi.org/10.1007/978-3-030-50423-6_21},
  researchr = {https://researchr.org/publication/MichalskiJP20},
  cites = {0},
  citedby = {0},
  pages = {277-290},
  booktitle = {Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part IV},
  editor = {Valeria V. Krzhizhanovskaya and Gábor Závodszky and Michael Harold Lees and Jack J. Dongarra and Peter M. A. Sloot and Sérgio Brissos and João Teixeira},
  volume = {12140},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-50423-6},
}