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Centrality in dynamic competition networks

Published 15 Sep 2019 in cs.SI and physics.soc-ph | (1909.06810v1)

Abstract: Competition networks are formed via adversarial interactions between actors. The Dynamic Competition Hypothesis predicts that influential actors in competition networks should have a large number of common out-neighbors with many other nodes. We empirically study this idea as a centrality score and find the measure predictive of importance in several real-world networks including food webs, conflict networks, and voting data from Survivor.

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