Reconstructing the evolution history of networked complex systems.

ABSTRACT: The evolution processes of complex systems carry key information in the systems' functional properties. Applying machine learning algorithms, we demonstrate that the historical formation process of various networked complex systems can be extracted, including protein-protein interaction, ecology, and social network systems. The recovered evolution process has demonstrations of immense scientific values, such as interpreting the evolution of protein-protein interaction network, facilitating structure prediction, and particularly revealing the key co-evolution features of network structures such as preferential attachment, community structure, local clustering, degree-degree correlation that could not be explained collectively by previous theories. Intriguingly, we discover that for large ne

SUBMITTER: Wang J 

PROVIDER: S-EPMC10987487 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature