Computer ScienceNature Communications
Reconstructing the evolution history of networked complex systems
J. Wang, Y. Zhang, et al.
Machine learning can extract the historical formation processes of diverse networked systems— from protein-protein interactions to ecological and social networks—revealing interpretable co-evolution features like preferential attachment, community structure, clustering, and degree correlations that previous theories couldn't jointly explain. Intriguingly, even a model slightly better than random on pairwise link order can reliably restore large-network formation history. This research was conducted by Junya Wang, Yi-Jiao Zhang, Cong Xu, Jiaze Li, Jiachen Sun, Jiarong Xie, Ling Feng, Tianshou Zhou, and Yanqing Hu.
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