Large-scale multi-objective influence maximisation with network downscaling. (arXiv:2204.06250v1 [cs.SI])

Finding the most influential nodes in a network is a computationally hard
problem with several possible applications in various kinds of network-based
problems. While several methods have been proposed for tackling the influence
maximisation (IM) problem, their runtime typically scales poorly when the
network size increases. Here, we propose an original method, based on network
downscaling, that allows a multi-objective evolutionary algorithm (MOEA) to
solve the IM problem on a reduced scale network, while preserving the relevant
properties of the …

arxiv influence network scale