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The gravity of an edge.

Appl Netw Sci

May 2018

2CUNY Borough of Manhattan Community College, Department of Mathematics, 199 Chambers Street, New York, 10007 NY USA.

We describe a methodology for characterizing the relative structural importance of an arbitrary network edge by exploiting the properties of a -shortest path algorithm. We introduce the metric , measuring how often an edge occurs in any possible network path, as well as -Gravity, a lower bound based on paths enumerated while solving the -shortest path problem. The methodology is demonstrated using Granovetter's original network examples as well as the well-known Florentine families of the Italian Renaissance and the Krebs 2001 terrorist networks.

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