Social networks initially had been places for people to contact each other,find friends or new acquaintances. As such they ever proved interesting formachine aided analysis. Recent developments, however, pivoted social networksto being among the main fields of information exchange, opinion expression anddebate. As a result there is growing interest in both analyzing and integratingsocial network services. In this environment efficient information retrieval ishindered by the vast amount and varying quality of the user-generated content.Guiding users to relevant information is a valuable service and also adifficult task, where a crucial part of the process is accurately resolvingduplicate entities to real-world ones. In this paper we propose a novelapproach that utilizes the principles of link mining to successfully extend themethodology of entity resolution to multitype problems. The proposed method ispresented using an illustrative social network-based real-world example andvalidated by comprehensive evaluation of the results.
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