Event-based spatiotemporal networks encode micro-level processes as discrete space-time events to generate and analyze emergent macroscopic dynamics in complex systems.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
physics.soc-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A Dutch population-scale actor model on registry-derived contact networks shows western urban municipalities as key drivers of novel respiratory pathogen spread and quantifies effects of symptomatic isolation and travel restrictions.
citing papers explorer
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Event-based spatiotemporal networks for modelling emergent phenomena in complex systems
Event-based spatiotemporal networks encode micro-level processes as discrete space-time events to generate and analyze emergent macroscopic dynamics in complex systems.
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Risk mapping novel respiratory pathogens with large-scale dynamic contact networks
A Dutch population-scale actor model on registry-derived contact networks shows western urban municipalities as key drivers of novel respiratory pathogen spread and quantifies effects of symptomatic isolation and travel restrictions.