Detailed-level modelling of influence spreading on complex networks.

ABSTRACT: The progress in high-performance computing makes it increasingly possible to build detailed models to investigate spreading processes on complex networks. However, current studies have been lacking detailed computational methods to describe spreading processes in large complex networks. To fill this gap we present a new modelling approach for analysing influence spreading via individual nodes and links on various network structures. The proposed influence-spreading model uses a probability matrix to capture the spreading probability from one node to another in the network. This approach enables analysing network characteristics in a number of applications and spreading processes using metrics that are consistent with the quantities used to model the network structures. In addition, this st

SUBMITTER: Kuikka V 

PROVIDER: S-EPMC11564639 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature