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Updated: Aug 12, 2025
14:14
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
Published on: May 13, 2022
6.0K
Facilitating innovation diffusion in social networks using dynamic norms
Lorenzo Zino1, Mengbin Ye2, Ming Cao1
1Engineering and Technology Institute Groningen, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands.
PNAS Nexus
|January 30, 2023
Summary
Dynamic norms, highlighting growing innovation adoption, can significantly shape collective behavior. Increased sensitivity to these norms is crucial for widespread social diffusion and innovation success.
Area of Science:
- Social sciences
- Network theory
- Behavioral economics
Background:
- Dynamic norms leverage social influence by showcasing increasing adoption trends.
- Understanding the population-level impact of dynamic norms on innovation diffusion remains underexplored.
Purpose of the Study:
- To develop a mathematical framework for analyzing how dynamic norms influence innovation diffusion at the population level.
- To investigate the role of individual sensitivity to dynamic norms in collective behavior.
Main Methods:
- Extension of a network coordination game with a probabilistic update rule reflecting dynamic norm influence.
- Game-theoretic modeling to analyze the dynamics of innovation adoption.
- Mathematical analysis of the impact of population sensitivity to dynamic norms.
Main Results:
- Sensitivity to dynamic norms is a critical factor in enabling social diffusion of innovations.
- Even minor increases in sensitivity can lower the threshold for adoption, reducing the advantage of the status quo.
- Sufficiently high sensitivity to dynamic norms can independently guarantee successful innovation diffusion.
Conclusions:
- Dynamic norms, particularly population sensitivity to them, are powerful drivers of collective innovation adoption.
- The findings provide a theoretical basis for designing interventions that leverage social influence for technological and social change.
- The model offers insights into the conditions under which innovations can achieve widespread diffusion.
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