Dynamic identification of important nodes in complex networks based on the KPDN-INCC method.

ABSTRACT: This article focuses on the cascading failure problem and node importance evaluation method in complex networks. To address the issue of identifying important nodes in dynamic networks, the method used in static networks is introduced and the necessity of re-evaluating node status during node removal is proposed. Studies have found that the methods for identifying dynamic and static network nodes are two different directions, and most literature only uses dynamic methods to verify static methods. Therefore, it is necessary to find suitable node evaluation methods for dynamic networks. Based on this, this article proposes a method that integrates local and global correlation properties. In terms of global features, we introduce an improved k-shell method with fusion degree to improve the re

SUBMITTER: Zhang J 

PROVIDER: S-EPMC10924965 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature