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Entropy 25 00916Arst by dillweed2333 is a document available to read on EtoBox.

This article presents a novel algorithm for predicting the popularity of information on social platforms like WeChat and Weibo, based on an activate–decay dynamic process. The proposed method uses early repost data to forecast long-term content popularity without relying on complex network structures or properties. Empirical results demonstrate that the algorithm outperforms existing methods and highlights the significance of identifying peak dissemination for improving prediction accuracy.

Author

dillweed2333

Language

EN