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Subgraph centrality and clustering in complex hyper-networks
2006
Physica A: Statistical Mechanics and its Applications
The representation of complex systems as networks is inappropriate for the study of certain problems. We show several examples of social, biological, ecological and technological systems where the use of complex networks gives very limited information about the structure of the system. We propose to use hypergraphs to represent these systems by introducing the concept of the complex hyper-network. We define several structural measures for complex hyper-networks. These measures characterize
doi:10.1016/j.physa.2005.12.002
fatcat:brud7egrznhpxjxrd3sbdsaumu