Two classes of bipartite networks: nested biological and social systems
E Burgos, H Ceva, L Hernández, RPJ Perazzo… - Physical Review E …, 2008 - APS
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 2008•APS
Bipartite graphs have received some attention in the study of social networks and of
biological mutualistic systems. A generalization of a previous model is presented, that
evolves the topology of the graph in order to optimally account for a given contact preference
rule between the two guilds of the network. As a result, social and biological graphs are
classified as belonging to two clearly different classes. Projected graphs, linking the agents
of only one guild, are obtained from the original bipartite graph. The corresponding evolution …
biological mutualistic systems. A generalization of a previous model is presented, that
evolves the topology of the graph in order to optimally account for a given contact preference
rule between the two guilds of the network. As a result, social and biological graphs are
classified as belonging to two clearly different classes. Projected graphs, linking the agents
of only one guild, are obtained from the original bipartite graph. The corresponding evolution …
Bipartite graphs have received some attention in the study of social networks and of biological mutualistic systems. A generalization of a previous model is presented, that evolves the topology of the graph in order to optimally account for a given contact preference rule between the two guilds of the network. As a result, social and biological graphs are classified as belonging to two clearly different classes. Projected graphs, linking the agents of only one guild, are obtained from the original bipartite graph. The corresponding evolution of its statistical properties is also studied. An example of a biological mutualistic network is analyzed in detail, and it is found that the model provides a very good fitting of all the main statistical features. The model also provides a proper qualitative description of the same features observed in social webs, suggesting the possible reasons underlying the difference in the organization of these two kinds of bipartite networks.
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