Exploring influential nodes using global and local information.

ABSTRACT: In complex networks, key nodes are important factors that directly affect network structure and functions. Therefore, accurate mining and identification of key nodes are crucial to achieving better control and a higher utilization rate of complex networks. To address this problem, this paper proposes an accurate and efficient algorithm for critical node mining. The influential nodes are determined using both global and local information (GLI) to solve the shortcoming of the existing key node identification methods that consider either local or global information. The proposed method considers two main factors, global and local influences. The global influence is determined using the K-shell hierarchical information of a node, and local influence is obtained considering the number of edges

SUBMITTER: Hu H 

PROVIDER: S-EPMC9800360 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature