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AnaIysis of User Interest Distribution and Expert Finding Based on Interest Graphs
Pages: 1561-1567
Year: Issue:  8
Journal: Acta Electronica Sinica

Keyword:  expert findinginterest analysisinterest graphcomplex network analysis;
Abstract: Although users can self-generate personalized data for describing preferences more comprehensively,user-created data is not rigorous and uncontrollable,which leads to enormous data of low quality with serious noise.On managing complex net-work,more attentions should be placed on high quality information that has been or will be produced by experts who have knowl-edge in specific fields in order to avoid being restricted to written knowledge.This paper finds experts by constructing and analyzing interest profiles of users and proposes a screening method for detecting abnormal pseudo-experts.Due to the small number of author-itative experts in networks,which provide a limited amount of information,experts defined in this paper not only include authorita-tive experts,but also ordinary users that have a lot of knowledge in a certain field.Experiments illustrate the correctness and effec-tiveness of the algorithm,and the low complexity renders it suitable in handling massive user node information.
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