  We discuss the structure of human relationship patterns in terms of a new
formalism that allows to study resource allocation problems where the cost of
the resource may take continuous values. This is in contrast with the main
focus of previous studies where relationships were classified in a few,
discrete layers (known as Dunbar's circles) with the cost being the same within
each layer. We show that with our continuum approach we can identify a
parameter $\eta$ that is the equivalent of the ratio of relationships between
adjacent circles in the discrete case, with a value $\eta\sim 6$. We confirm
this prediction using three different datasets coming from phone records,
face-to-face contacts, and interactions in Facebook. As the sample size
increases, the distributions of estimated parameters smooth around the
predicted value of $\eta$. The existence of a characteristic value of the
parameter at the population level indicates that the model is capturing a
seemingly universal feature on how humans manage relationships. Our analyses
also confirm earlier results showing the existence of social signatures arising
from having to allocate finite resources into different relationships, and that
the structure of online personal networks mirrors those in the off-line world.
