title: Two classes of bipartite networks: nested biological and social systems.
abstract: 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.
authors.affiliation: Departamento de Física, Comisión Nacional de Energía Atómica, Avenida del Libertador 8250, 1429 Buenos Aires, Argentina.
authors.forename: Enrique
authors.initials: E
authors.lastname: Burgos
authors.forename: Horacio
authors.initials: H
authors.lastname: Ceva
authors.forename: Laura
authors.initials: L
authors.lastname: Hernández
authors.forename: R P J
authors.initials: RP
authors.lastname: Perazzo
authors.forename: Mariano
authors.initials: M
authors.lastname: Devoto
authors.forename: Diego
authors.initials: D
authors.lastname: Medan
mesh_terms: D000818:Animals; D001703:Biophysics / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D008962:Models, Theoretical; D012919:Social Behavior; D012944:Social Support