Identifying key players in complex networks through network entanglement

Abstract

Finding an optimal set of key nodes in a network whose removal from the network would dismantle the network is one of the fundamental research problems of Network Science. In this paper, we introduce an entanglement-based dismantling framework, which captures the network’s transport properties and enables new insights into the intrinsic topological features of the complex system.

Yiming Huang

PhD Candidate

My research interests include network science, vital node identification, and topological deep learning.

Linyuan Lü

Professor

Professor, doctoral supervisor, winner of the National Natural Science Foundation of Outstanding Youth Science Fund.