Incomplete networks are those in which a road/intersection are unavailable to route through. Information centrality has been used to quantify the efficiency loss due to incompleteness. We propose a new topological method to quantify this by summing the excess distances one must travel. The new metric (SED) is found to be significantly correlated with IC across three representative networks. It is distributed Weibull and we provide a theoretical basis as to why. IC is distributed as a power law with varying exponents. The research then proposes several metrics to rank networks based on different policy questions. From the IC one can rank by the network’s inherent inequity. From the SED, one can rank per median/modal SED, percentage of most susceptible nodes, and excess CO2 emitted. Finally, we propose how SED can be helpful in location setting and theorize the existence of a trade-off between SED and the network’s operating cost.