An agent-based model of scapegoating (1.0.1)
            This agent-based model investigates scapegoating as a social mechanism of crisis management. Inspired by René Girard’s mimetic theory, it simulates how individual tension accumulates and spreads across a small-world network. When tension exceeds certain thresholds, leaders emerge and accuse marginalized agents, who may attempt to transfer blame to substitutes. If scapegoating occurs, collective tension decreases, but victims become isolated while leaders consolidate temporary authority. This simulation provides a conceptual and methodological framework for exploring how collective blame, crisis contagion, and leadership paradoxes emerge in complex networks. It can also be extended with empirical data, such as social media dynamics of online harassment and virtual lynching, offering potential applications for both theoretical research and practical crisis monitoring.
             
            Release Notes
            Version 1.0.1 is a corrected release of the Scapegoating ABM. In the initial release, a Word document was mistakenly uploaded as source code. This version provides the correct NetLogo source file (.nlogo) together with the ODD protocol documentation, ensuring that the model can be run, replicated, and extended by other researchers.
            Associated Publications
            
         
    
    
        
        
            
        
        An agent-based model of scapegoating 1.0.1
        
            
                Submitted by
                
                    Carlos Paes
                
            
            
                
                    Published Aug 28, 2025
                
            
            
                Last modified Aug 28, 2025
            
         
        
        
            
                This agent-based model investigates scapegoating as a social mechanism of crisis management. Inspired by René Girard’s mimetic theory, it simulates how individual tension accumulates and spreads across a small-world network. When tension exceeds certain thresholds, leaders emerge and accuse marginalized agents, who may attempt to transfer blame to substitutes. If scapegoating occurs, collective tension decreases, but victims become isolated while leaders consolidate temporary authority. This simulation provides a conceptual and methodological framework for exploring how collective blame, crisis contagion, and leadership paradoxes emerge in complex networks. It can also be extended with empirical data, such as social media dynamics of online harassment and virtual lynching, offering potential applications for both theoretical research and practical crisis monitoring.
             
            
                
                
                
            
            
            Release Notes
            
                
Version 1.0.1 is a corrected release of the Scapegoating ABM. In the initial release, a Word document was mistakenly uploaded as source code. This version provides the correct NetLogo source file (.nlogo) together with the ODD protocol documentation, ensuring that the model can be run, replicated, and extended by other researchers.