Xueqin Chang

Approximation and Learning-based Algorithms for Influence Maximization in Multilayer Social Networks

Motivated by the observation that users in the real world often engage across multiple social networks simultaneously, we study the problem of influence maximization in multilayer social networks (Mlim), aiming to select a small set of nodes that maximizes the total influence spread across all layers. To this end, we i...