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- W101755722 abstract "In social networks, nodes correspond to entities and edges to links between them. In most of the cases, nodes are also associated with a set of features. Noise, missing values or efforts to preserve privacy in the network may transform the original network G and its feature vectors F . This transformation can be modeled as a randomization method. Here, we address the problem of reconstructing the original network and set of features given their randomized counterparts G′ and F ′ and knowledge of the randomization model. We identify the cases in which the original network G and feature vectors F can be reconstructed in polynomial time. Finally, we illustrate the efficacy of our methods using both generated and real datasets." @default.
- W101755722 created "2016-06-24" @default.
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- W101755722 date "2010-04-29" @default.
- W101755722 modified "2023-09-23" @default.
- W101755722 title "Reconstructing randomized social networks" @default.
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- W101755722 doi "https://doi.org/10.1137/1.9781611972801.5" @default.
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