Structure comparison of binary and weighted niche-overlap graphs
      
      
        
      
      
      
      
        
          
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Sokhn, Nayla
  University of Fribourg, Switzerland - University of Applied Sciences of Western Switzerland, Fribourg, Switzerland
          
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Baltensperger, Richard
  University of Applied Sciences of Western Switzerland, Fribourg, Switzerland
          
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Bersier, Louis-Félix
  University of Fribourg, Switzerland
          
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Ultes-Nitsche, Ulrich
  University of Fribourg, Switzerland
          
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Hennebert, Jean
  University of Fribourg, Switzerland - University of Applied Sciences of Western Switzerland, Fribourg, Switzerland
          
 
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
        
        Published in:
        
          
            
            - Complex Networks. - 2014, vol. 5, p. 119–127
 
       
      
      
      
       
      
      
      
        
        English
        
        
        
          In ecological networks, niche-overlap graphs are considered as complex systems.  They represent the competition between two predators that share common resources.  The purpose of this paper is to investigate the structural properties of these graphs  considered as weighted networks and compare their measures with the ones  calculated for the binary networks. To conduct this study, we select four classical  network measures : the degree of nodes, the clustering coefficient, the assortativity,  and the betweenness centrality. These measures were used to analyse different type  of networks such as social networks, biological networks, world wide web, etc.  Interestingly, we identify significant differences between the structure of the binary and  the weighted niche-overlap graphs. This study indicates that weight information  reveals different features that may provide other implications on the dynamics of these  networks.
        
        
       
      
      
      
        
        
        
        
        
        
        
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          Faculty
          
        
- Faculté des sciences et de médecine
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          Department
          
        
- Département de Biologie
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          Classification
        
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                  Ecology and biodeversity
                
              
            
          
        
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          Identifiers
        
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          Persistent URL
        
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          https://folia.unifr.ch/unifr/documents/303703
        
 
   
  
  
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