Excavating important nodes in complex networks based on the heat conduction model.

ABSTRACT: Analyzing the important nodes of complex systems by complex network theory can effectively solve the scientific bottlenecks in various aspects of these systems, and how to excavate important nodes has become a hot topic in complex network research. This paper proposes an algorithm for excavating important nodes based on the heat conduction model (HCM), which measures the importance of nodes by their output capacity. The number and importance of a node's neighbors are first used to determine its own capacity, its output capacity is then calculated based on the HCM while considering the network density, distance between nodes, and degree density of other nodes. The importance of the node is finally measured by the magnitude of the output capacity. The similarity experiments of node importanc

SUBMITTER: Hu H 

PROVIDER: S-EPMC10987567 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature