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arXiv · 2311.18676

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

Aryaman Rao·Parth Singh·Dinesh Kumar Vishwakarma·Mukesh Prasad
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Abstract

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.

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Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad. 2023-11-30. DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). https://arxiv.org/abs/2311.18676

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