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Community structure-regulation coupling reveals optimal information diffusion

Authors

Chen,  Xiaojie
External Organizations;

Xie,  Meiling
External Organizations;

Meng,  Jun
External Organizations;

Fang,  Sheng
External Organizations;

Chen,  Xiaosong
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

Nagler,  Jan
External Organizations;

/persons/resource/Jingfang.Fan

Fan,  Jingfang
Potsdam Institute for Climate Impact Research;

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Citation

Chen, X., Xie, M., Meng, J., Fang, S., Chen, X., Kurths, J., Nagler, J., Fan, J. (2026): Community structure-regulation coupling reveals optimal information diffusion. - Nature Communications, 17, 4879.
https://doi.org/10.1038/s41467-026-73665-1


Cite as: https://publications.pik-potsdam.de/pubman/item/item_35202
Abstract
Effective regulation of information diffusion in complex social systems requires balancing containment and intervention cost, yet how network community structure interacts with targeted interventions remains unclear. We develop a community structure-regulation coupling framework (COSREF) that integrates community structure with process-level regulation of transmission and show how their interplay governs diffusion. Tuning two regulation parameters governing within- and cross-community transmission yields three regimes: no, localized, and global diffusion, separated by abrupt transitions. This structure–regulation perspective reveals a low-cost intervention region where small, targeted adjustments contain spread, unifies topology and regulation within a single theoretical setting, and provides general principles for efficiently and robustly regulating modular systems. Analyses of large cross-platform real-world social networks confirm our analytical predictions and simulation results, demonstrating COSREF’s robustness across investigated topologies and its applicability to real information environments.