Centrality in dynamic competition networks
Social and Information Networks
2019-09-17 v1 Physics and Society
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.
Cite
@article{arxiv.1909.06810,
title = {Centrality in dynamic competition networks},
author = {Anthony Bonato and Nicole Eikmeier and David F. Gleich and Rehan Malik},
journal= {arXiv preprint arXiv:1909.06810},
year = {2019}
}