• DOI:10.1109/tcss.2020.3032616
Corpus ID: 210023533

Time-constrained Adaptive Influence Maximization

@article{Tong2020TimeconstrainedAI,
  title={Time-constrained Adaptive Influence Maximization},
  author={Guangmo Tong and R. Wang and Chen Ling and Zheng Dong and Xiang Li},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.01742}
}

Guangmo Tong, R. Wang, +2 authors Xiang Li

Published 2020

Computer Science

ArXiv

The well-known influence maximization problem aims at maximizing the influence of one information cascade in a social network by selecting appropriate seed users prior to the diffusion process. In its adaptive version, additional seed users can be selected after observing certain diffusion results. On the other hand, social computing tasks are often time-critical, and therefore only the influence resulted in the early period is worthwhile, which can be naturally modeled by enforcing a time… CONTINUE READING

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