Occurrence of super-diffusion in two-layer networks.

Area of Science:

• Network Science
• Complex Systems
• Information Diffusion

Background:

• Super-diffusion describes faster information spread in multilayer networks compared to single layers.
• Existing research often links super-diffusion to edge overlap and interlayer connectivity modes.

Purpose of the Study:

• To investigate the key factors driving super-diffusion in two-layer networks.
• To challenge the prevailing focus on edge overlap as the primary determinant of super-diffusion.

Main Methods:

• Analysis of super-diffusion phenomena in two-layer network models.
• Exploration of the impact of individual layer topology (sparse vs. dense).
• Investigation of interlayer edge density and connection patterns.

Main Results:

• Super-diffusion is not solely dependent on edge overlap degree.
• Sparse topological structures in individual layers promote super-diffusion.
• Similar diffusion capacities across layers are conducive to super-diffusion.
• Interlayer edge density and connection patterns significantly influence super-diffusion.

Conclusions:

• Network topology and layer diffusion similarity are critical for super-diffusion.
• Findings offer strategies for optimizing diffusion in multilayer systems.
• Implications for selecting information transmission paths and organizational network design.