A piecewise power-law model with shape parameter alpha, growth rate R, and duration T describes word diffusion, with large-scale blog and search data showing alpha mode near 0.5 and sub-exponential growth in 55% of 2,963 analyzed patterns.
To solve this global optimization problem, we useDiffer- ential Evolution (DE)(e.g., theDEoptimlibrary in R)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.soc-ph 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Sub-exponential Growth Dynamics in Complex Systems: A Piecewise Power-Law Model for the Diffusion of New Words and Names
A piecewise power-law model with shape parameter alpha, growth rate R, and duration T describes word diffusion, with large-scale blog and search data showing alpha mode near 0.5 and sub-exponential growth in 55% of 2,963 analyzed patterns.