# Minimum Information Dominating Set for Opinion Sampling

@article{Gao2014MinimumID, title={Minimum Information Dominating Set for Opinion Sampling}, author={Jianhang Gao and Qing Zhao and Ananthram Swami}, journal={ArXiv}, year={2014}, volume={abs/1405.5572} }

We consider the problem of inferring the opinions of a social network through strategically sampling a minimum subset of nodes by exploiting correlations in node opinions. We first introduce the concept of information dominating set (IDS). A subset of nodes in a given network is an IDS if knowing the opinions of nodes in this subset is sufficient to infer the opinion of the entire network. We focus on two fundamental algorithmic problems: (i) given a subset of the network, how to determine…

## One Citation

Signal processing on graphs: Case of sampling in Paley-Wiener spaces

- MathematicsSignal Process.
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