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Updated: Jul 28, 2026

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Molecular Diffusion in Plasma Membranes of Primary Lymphocytes Measured by Fluorescence Correlation Spectroscopy
Published on: February 1, 2017
Efficiency of information spreading in a population of diffusing agents
Summary
This study models information diffusion across a population, finding that spread time depends on population size and lattice dimensions. Information decay affects the final average information degree, showing complex non-monotonic behavior.
Area of Science:
- Complex Systems
- Network Science
- Statistical Physics
Background:
- Understanding information diffusion is crucial in various fields.
- Previous models often simplify agent interactions and spatial structures.
Purpose of the Study:
- To develop and analyze a model for information spreading on a lattice.
- To investigate the scaling laws of information propagation time.
- To examine the impact of information decay on the final information state.
Main Methods:
- Agent-based modeling on a square lattice.
- Numerical simulations to track information spread.
- Analytical approximations for theoretical validation.
Main Results:
- Information spread time scales with population size (N) and lattice size (L) as N(-alpha)L(beta).
- A decay factor (z) introduces history dependence to the final average information degree (tau(av)(z)).
- The average information degree exhibits non-monotonic behavior with respect to N and L, with observable minima.
Conclusions:
- The model provides insights into information diffusion dynamics with spatial constraints and decay.
- Scaling laws reveal how population and spatial factors influence spread time.
- The history-dependent nature of information decay leads to complex emergent behaviors.
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