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Name disambiguation from link data in a collaboration graph using temporal and topological features
2015
Social Network Analysis and Mining
In a social community, multiple persons may share the same name, phone number or some other identifying attributes. This, along with other phenomena, such as name abbreviation, name misspelling, and human error leads to erroneous aggregation of records of multiple persons under a single reference. Such mistakes affect the performance of document retrieval, web search, database integration, and more importantly, improper attribution of credit (or blame). The task of entity disambiguation
doi:10.1007/s13278-015-0249-1
fatcat:xiebconhknerbnpauf7p3mskmy