Markovian Reeb Graphs turn Reeb graphs into generative models for simulating individual and population-level spatiotemporal human mobility patterns by embedding Markovian probabilistic transitions.
Deep activity model: A generative approach for human mobility pattern synthesis
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2025 2verdicts
UNVERDICTED 2representative citing papers
A quadratic Lagrangian incorporating dissipation models human mobility from population distributions and fits both synthetic and empirical data, showing comparable inertia and dissipation effects.
citing papers explorer
-
Markovian Reeb Graphs for Simulating Spatiotemporal Patterns of Life
Markovian Reeb Graphs turn Reeb graphs into generative models for simulating individual and population-level spatiotemporal human mobility patterns by embedding Markovian probabilistic transitions.
-
Optimal transport by a Lagrangian dynamics of population distribution
A quadratic Lagrangian incorporating dissipation models human mobility from population distributions and fits both synthetic and empirical data, showing comparable inertia and dissipation effects.