Improved Importance Contribution Method for Node Importance Evaluation in Space Information Network

To evaluate the node importance in dynamic space information networks, it is crucial to consider the networks’ evolution over time, notjust a single moment. In view of the variable temporal characteristics of space information networks, this paper refers to a time-varying topology sequence model consisting of a series of steady-state network topologies. The weight matrix of each steady-state network topology is calculated based on the time ratios in a period. Considering the correlation between adjacent and non-adjacent nodes, the node importance evaluation method of the steady-state space information network is improved by incorporating the importance contribution matrix, betweenness centrality, and local triangle centrality. Simulation experiments demonstrate that this improved method accurately and effectively evaluates the node importance of the space information network throughout a period.