Abstract (EN):
In this paper we present a study about spanning edge betweenness, an edge-based metric for complex network analysis that is defined as the probability of an edge being part of a minimum spanning tree. This probability reflects how redundant an edge is in what concerns the connectivity of a given network and, hence, its value gives information about the network topology. We apply this metric to distinct empirical networks and random graph models, showing that spanning edge betweenness allows us to identify those edges that are more relevant for connectivity and how removing them leads to disruption in network structure.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
8