Furthermore, it is possible to map the asymmetry of trust using a combination of multidimensional scaling, a statistical technique, and topological data analysis \cite{Gidea_2018}, a new type of econometric analysis which complements the standard statistical measures and has been used to detect early warning signals of imminent market crashes.  
We begin by selecting functions from the Model Selection Report with complexity at the same accuracy level (e.g. 10-4).  Secondly, we draw a graph where a set of vertices (v1,...,vN) is an element of V connected by M edges (e1,...,eM) that are elements of E, where the length of each edge, (l1,...,lM) are elements of L. The edges mirror complexity values, giving rise to a complexity space (in our case, a trust space, since at least one model included in the subset contains a variable that is a direct expression of investor's financial commitment -- such as the use of a cryptocurrency exchange).