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Social media cluster dynamics create resilient global hate highways

Authors :
Johnson, N. F.
Leahy, R.
Restrepo, N. Johnson
Velasquez, N.
Zheng, M.
Manrique, P.
Publication Year :
2018

Abstract

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.<br />Comment: working paper

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1811.03590
Document Type :
Working Paper