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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(More)
Individuals often appear with multiple names when considering large bibliographic datasets, giving rise to the synonym ambiguity problem. Although most related works focus on resolving name ambiguities, this work focus on classifying and characterizing multiple name usage patterns—the root cause for such ambiguity. By considering real examples bibliographic(More)
Individuals often appear with multiple names when considering large data-sets collected from different sources, giving rise to the name ambiguities. Name ambiguity comes in two flavors: a single individual appearing with more than one name (synonym problem); a single name being used to refer to more than one individual (homonym problem). This works focuses(More)
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