
The authors present sublinear-time algorithms to efficiently approximate node opinions, polarization, disagreement, and other relevant measures in the Friedkin-Johnsen model of opinion dynamics, even when only having access to a small number of node opinions or the graph structure.


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efficient-approximation-of-opinions-and-measures-in-the-friedkin-johnsen-model-for-large-scale-social-networks


Efficient Approximation of Opinions and Measures in the Friedkin-Johnsen Model for Large-Scale Social Networks
