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Hybrid Galam-Bass Model for Technology Innovation
Giulia Rotundo1, Roy Cerqueti2,3, Gurjeet Dhesi4,5
1Department of Statistical Sciences, Sapienza University of Rome, p.le A. Moro 5, 00185 Rome, Italy.
Entropy (Basel, Switzerland)
|August 28, 2025
Summary
This study introduces a hybrid opinion dynamics model combining Galam and Bass models on complex networks. Results show increased regularity in opinion trajectories with higher preferential attachment, indicating more predictable opinion formation.
Area of Science:
- Complex systems
- Social network analysis
- Opinion dynamics
Background:
- Existing models often overlook network structure in opinion formation.
- Technology adoption models like Bass do not fully capture opinion dynamics.
- Barabasi-Albert networks offer a realistic structure for complex interactions.
Purpose of the Study:
- To develop a hybrid model integrating opinion dynamics (Galam) and technology adoption (Bass) on complex networks.
- To incorporate irreversible opinion transitions and the impact of charismatic competitors.
- To quantify system unpredictability using Kolmogorov-Sinai entropy.
Main Methods:
- Hybrid Galam-Bass model on Barabasi-Albert networks.
- Simulation of opinion formation with irreversible transitions and competitor influence.
- Application of Kolmogorov-Sinai entropy for information loss analysis.
Main Results:
- The model successfully simulates opinion formation incorporating network structure.
- Irreversible transitions and competitor effects alter opinion dynamics.
- Increased preferential attachment leads to more regular opinion trajectories.
Conclusions:
- The hybrid model provides a novel framework for studying opinion dynamics on complex networks.
- Network structure significantly influences opinion formation and predictability.
- Kolmogorov-Sinai entropy effectively quantifies information loss in opinion dynamics.
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