Temporal correlations in token sequences decouple type-token growth curves from rank-frequency distributions, with a one-parameter model reproducing the range of possible trajectories for any given frequency distribution.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Memory-biased random walks drive network avalanches where dissipative stress transfer stabilizes broad finite cascades on Watts-Strogatz graphs while fixed transfer produces runaways, and shuffled controls show dissipation dominates memory ordering.
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The dynamics of discovery and the Heaps-Zipf relationship
Temporal correlations in token sequences decouple type-token growth curves from rank-frequency distributions, with a one-parameter model reproducing the range of possible trajectories for any given frequency distribution.
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Dissipative Avalanche Regimes Driven by Memory-Biased Random Walks on Networks
Memory-biased random walks drive network avalanches where dissipative stress transfer stabilizes broad finite cascades on Watts-Strogatz graphs while fixed transfer produces runaways, and shuffled controls show dissipation dominates memory ordering.