Collective Rationality in Graph Aggregation
Ulle Endriss, Umberto Grandi
Abstract:
Suppose a number of agents each provide us with a directed graph
over a common set of vertices. Graph aggregation is the problem
of computing a single “collective” graph that best represents the
information inherent in this profile of individual graphs. We consider
this aggregation problem from the point of view of social choice
theory and ask what properties shared by the individual graphs
will transfer to the graph computed by a given aggregation
procedure. Our main result is a general impossibility theorem that
applies to a wide range of graph properties.