This paper proves that maximizing the median opinion under Friedkin-Johnsen dynamics with a budget of changed resistances is NP-hard to approximate, and introduces heuristics that flip the median on real-world networks with a small number of stooges.
Mathematical models of the distribution of attitudes under controversy
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Countering Election Sway: Strategic Algorithms in Friedkin-Johnsen Dynamics
This paper proves that maximizing the median opinion under Friedkin-Johnsen dynamics with a budget of changed resistances is NP-hard to approximate, and introduces heuristics that flip the median on real-world networks with a small number of stooges.