Volume 144, Number 4, November 2023
|Number of page(s)
|Statistical physics and networks
|13 December 2023
A research of a strategy to balance the importance and dispersion of multiple critical nodes
School of Computer Science and Engineering, China West Normal University - Nanchong 637009, PRC
Received: 21 August 2023
Accepted: 7 November 2023
Maximizing the range of disease or information spread is a hot research topic in complex networks. In particular, the dispersion among a group of nodes and the spreading ability of a single node are two vital factors in the propagation process. However, although some traditional algorithms have considered both factors, they have failed to address the balance between them. To solve this problem, this paper first proposes two metrics to quantify the dispersion of a group of nodes and the local spreading ability of a single node, then designs an objective function fusing these two metrics, which automatically searches for a balance between these two vital factors during the optimization process. We evaluate the proposed algorithm against seven baseline algorithms on three synthetic networks and nine real networks based on the classic susceptible-infected-recovered (SIR) model. Experimental results show that our algorithm is better than some of the centrality-based and heuristic algorithms in the final propagation scale.
© 2023 EPLA
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.