Adaptive robust structure exploration for complex systems based on model configuration and fusion.

ABSTRACT: Analyzing and obtaining useful information is challenging when facing a new complex system. Traditional methods often focus on specific structural aspects, such as communities, which may overlook the important features and result in biased conclusions. To address this, this article suggests an adaptive algorithm for exploring complex system structures using a generative model. This method calculates and optimizes node parameters, which can reflect the latent structural characteristics of the complex system. The effectiveness and stability of this method have been demonstrated in comparative experiments on 10 sets of benchmark networks using our model parameter configuration scheme. To enhance adaptability, algorithm fusion strategies were also proposed and tested on two real-world networks

SUBMITTER: Qu Y 

PROVIDER: S-EPMC11041945 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature