Critical Node Identification for Power Communication Networks Based on an Improved Structural Hole Algorithm

Abstract

As the second strength network of the power grid, the power communication network is the cornerstone for maintaining the safe and stable operation of the grid. Identifying important nodes to the power communication network and protecting them redundantly can increase its risk resistance. In this paper, on the basis of complex network theory, the structure hole algorithm is improved by link importance to enable it to identify multi-layer network topology, overcoming the shortcomings of the traditional structure hole algorithm that cannot accurately identify bridging nodes and establishing an important node identification model (ILS) by combining the characteristics of power communication networks. The results show that ILS can effectively identify key nodes in power communication networks.