Figure 1
Representation of the networks describing the mutual interactions among the agents making up the system under study.
Left panel: Sketch of the bipartite network modelling mutual interactions between natives (left community) and immigrants (right community). Each node represents an agent, whose flag mirrors her country of origin (for migrants we simply show the six most represented communities in Spain). To simplify the representation of the network, we omit the links representing interactions among Spanish agents. Right panel: Sketch of the equivalent monopartite network built by Spanish decision makers only; this exhibits the same properties (that is, the same first order statistics on all its observables) with the original bipartite one. Basically, in this monopartite network, two agents are connected if they share at least one neighbour in the bipartite network. For instance, nodes labelled as 1 and 2 share one neighbour (corresponding to μ=2), while nodes labelled as 1 and 6 do not share any neighbour.
