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Analytical modeling of node turnover in adaptive social networks

Develop tractable analytical models of adaptive networks that incorporate node turnover (i.e., entry and exit of users) in addition to link-weight evolution, going beyond agent-based simulations, in order to capture polarization and diffusion dynamics when network structure and population change co-occur on similar timescales.

References

Capturing this within tractable analytical models, beyond agent-based simulations, remains a key open challenge.

The Physics of News, Rumors, and Opinions (Caldarelli et al., 16 Oct 2025) in Section 5.2.3, “Temporal and critical dynamics of information spreading”