  Online social media allows individuals to cluster around common interests -
including hate. We show that tight-knit social clusters interlink to form
resilient 'global hate highways' that bridge independent social network
platforms, countries, languages and ideologies, and can quickly self-repair and
rewire. We provide a mathematical theory that reveals a hidden resilience in
the global axis of hate; explains a likely ineffectiveness of current control
methods; and offers improvements. Our results reveal new science for
networks-of-networks driven by bipartite dynamics, and should apply more
broadly to illicit networks.
