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.
Opinion dynamics and learning in social networks
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.