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Network modularity controls the speed of information diffusion.

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Network modularity impacts information diffusion speed. An optimal modular structure accelerates complex contagion spread, while extremes hinder it. Findings apply to marketing, epidemiology, and engineering.

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Area of Science:

  • Network Science
  • Computational Social Science
  • Complex Systems

Background:

  • Information diffusion and social behavior adoption are crucial in diverse fields like public health and marketing.
  • While cascade dynamics are studied, network topology's effect on diffusion efficiency remains underexplored.

Purpose of the Study:

  • To investigate how network modularity influences the speed of information diffusion in complex contagion.
  • To identify the relationship between network structure and diffusion efficiency.

Main Methods:

  • Utilized the linear threshold model on networks with community structures.
  • Performed simulations and analytical approximations to analyze diffusion dynamics.

Main Results:

  • Network modularity significantly impacts information diffusion speed.
  • An optimal level of modularity exists for the most efficient spreading; deviations hinder diffusion.
  • Optimal modularity is dependent on seed size, target cascade size, and network characteristics.

Conclusions:

  • Network modularity is a key factor in optimizing information propagation efficiency.
  • Findings have implications for designing complex systems in marketing, epidemiology, neuroscience, and engineering.