26 Pages Posted: 24 Jun 2020 Last revised: 22 Oct 2020
Date Written: May 6, 2020
Centrality measures play a key role in network analysis. This paper studies the extent to which these measures share a common structure. In contrast with prior work, I take an ordinal approach, considering preorders on the vertex set of a graph that satisfy an intuitive axiom called recursive monotonicity. From this axiom, I derive two fundamental measures, strong centrality and weak centrality, and I relate these measures to the equilibria of network games. Any equilibrium in a network game of strategic complements induces an order on the players based on who takes higher actions. I show that strong centrality exactly captures the comparisons that are shared across all equilibria in all such games. I show that weak centrality captures those comparisons that are shared across the minimal and maximal equilibria in all such games.
Keywords: Centrality, networks, ordinal
JEL Classification: D85
Suggested Citation: Suggested Citation