Opinion Diffusion and Campaigning on Society Graphs

Piotr Faliszewski, Rica Gonen, Martin Koutecký, Nimrod Talmon

IJCAI 2018 pp. 219-225

doi:10.24963/IJCAI.2018/30 /ijcai/2018/faliszewski2018ijcai-opinion/

Abstract

We study the effects of campaigning, where the society is partitioned into voter clusters and a diffusion process propagates opinions in a network connecting those clusters. Our model is very general and can incorporate many campaigning actions, various partitions of the society into voter clusters, and very general diffusion processes. Perhaps surprisingly, we show that computing the cheapest campaign for rigging a given election can usually be done efficiently, even with arbitrarily-many voters.

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Cite

Text

Faliszewski et al. "Opinion Diffusion and Campaigning on Society Graphs." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/30

Markdown

[Faliszewski et al. "Opinion Diffusion and Campaigning on Society Graphs." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/faliszewski2018ijcai-opinion/) doi:10.24963/IJCAI.2018/30

BibTeX

@inproceedings{faliszewski2018ijcai-opinion,
  title     = {{Opinion Diffusion and Campaigning on Society Graphs}},
  author    = {Faliszewski, Piotr and Gonen, Rica and Koutecký, Martin and Talmon, Nimrod},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {219-225},
  doi       = {10.24963/IJCAI.2018/30},
  url       = {https://mlanthology.org/ijcai/2018/faliszewski2018ijcai-opinion/}
}