# DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract)

arXiv: https://arxiv.org/abs/2311.18676 · HTML: https://mlsanity.com/paper/2311.18676/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 30 Nov 2023.

## Abstract (arXiv)

Influence Maximization is the task of selecting optimal nodes maximising the influence spread in social networks. This study proposes a Discretized Quantum-based Salp Swarm Algorithm (DQSSA) for optimizing influence diffusion in social networks. By discretizing meta-heuristic algorithms and infusing them with quantum-inspired enhancements, we address issues like premature convergence and low efficacy. The proposed method, guided by quantum principles, offers a promising solution for Influence Maximisation. Experiments on four real-world datasets reveal DQSSA's superior performance as compared to established cutting-edge algorithms.
