Abstract
This paper investigates the so-called ODP-problem that has been formulated by Caragiannis and Micha [8]. This problem considers a setting with two election alternatives out of which one is assumed to be correct. In ODP, the goal is to organise the delegations in a social network in order to maximize the probability that the correct alternative is elected. While the problem is known to be computationally hard, we strengthen existing hardness results and show that the approximation hardness of ODP highly depends on the connectivity of the social network and the individual accuracies. Interestingly, under some assumptions, on either the accuracies of voters or the connectivity of the network, we obtain a polynomial-time 1/2-approximation algorithm. Lastly, we run extensive simulations and observe that simple algorithms relying on the abilities of liquid democracy outperform direct democracy on a large class of instances.
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Notes
- 1.
The choice of a set voter can be done arbitrarily when several choices are possible.
- 2.
We use that \(n\le 4^{N}\), whose proof is available in a long version of the paper [2].
- 3.
This method uses a parameter \(\alpha \) set to 1 and a cap function \(C: x\rightarrow 10\log (x)^{1/3}\).
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Acknowledgements
This work is partially supported by the Italian MIUR PRIN 2017 Project ALGADIMAR “Algorithms, Games, and Digital Markets”.
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Becker, R., D’Angelo, G., Delfaraz, E., Gilbert, H. (2021). Unveiling the Truth in Liquid Democracy with Misinformed Voters. In: Fotakis, D., Ríos Insua, D. (eds) Algorithmic Decision Theory. ADT 2021. Lecture Notes in Computer Science(), vol 13023. Springer, Cham. https://doi.org/10.1007/978-3-030-87756-9_9
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