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About this paper
Niccolò Di Marco, Matteo Cinelli, Shinichi Nakano, Andrea Frosini
The authors develop an exact fixed-account-count optimizer for measuring coordinated accounts’ direct influence in cascades, and compare observed seeds with centrality-based seeds in simulated retweet networks. In larger UK election cascades, observed accounts achieve about one-tenth of the same-count optimum; operation networks show mixed, sometimes competitive influence. These retrospective Twitter/X measures estimate structural diffusion potential, not persuasion or actual effects.
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