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A Model for Ambiguation and an Algorithm for Disambiguation in Social Networks
[chapter]
2015
Studies in Computational Intelligence
A common assumption when collecting network data is that objects can be uniquely identified. However, in many scenarios objects do not have a unique label giving rise to ambiguities since the mapping between observed labels and objects is not known. In this paper we consider the ambiguity problem that emerges when objects appear with more than one label in the context of social networks. We first propose a probabilistic model to introduce ambiguity in a network by duplicating vertices and
doi:10.1007/978-3-319-16112-9_4
fatcat:sf2ueh7hlfeetn24la4bia5vpi