Emergency Warning Dissemination in a Multiplex Social Network (1.0.0)
            This is an interdisciplinary agent-based model with Monte Carlo simulations to assess the relative effects of broadcast and contagion processes in a multiplex social network. This multiplex approach models multiple channels of informal communication - phone, word-of-mouth, and social media - that vary in their attribute values. Each agent is an individual in a threatened community who, once warned, has a probability of warning others in their social network using one of these channels. The probability of an individual warning others is based on their warning source and the time remaining until disaster impact, among other variables. Default parameter values were chosen from empirical studies of disaster warnings along with the spatial aspects of Coos Bay, OR, USA and Seaside, OR, USA communities.
            
            Release Notes
            Welcome to the 1.0 release! This version supports Julia 1.7. Support for Julia 1.6 can be found on the GitHub repository (https://github.com/Wang-Research-Group/WarningDissem.jl) as a tag.
            Associated Publications
            
         
    
    
        
        
            
        
        Emergency Warning Dissemination in a Multiplex Social Network 1.0.0
        
            
                Submitted by
                
                    Charles Koll
                
            
            
                
                    Published Jan 31, 2023
                
            
            
                Last modified Jan 31, 2023
            
         
        
        
            
                This is an interdisciplinary agent-based model with Monte Carlo simulations to assess the relative effects of broadcast and contagion processes in a multiplex social network. This multiplex approach models multiple channels of informal communication - phone, word-of-mouth, and social media - that vary in their attribute values. Each agent is an individual in a threatened community who, once warned, has a probability of warning others in their social network using one of these channels. The probability of an individual warning others is based on their warning source and the time remaining until disaster impact, among other variables. Default parameter values were chosen from empirical studies of disaster warnings along with the spatial aspects of Coos Bay, OR, USA and Seaside, OR, USA communities.
             
            
                
            
            
            Release Notes
            
                
Welcome to the 1.0 release! This version supports Julia 1.7. Support for Julia 1.6 can be found on the GitHub repository (https://github.com/Wang-Research-Group/WarningDissem.jl) as a tag.