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 network

more attentions should be placed on high quality information that has been or will be produced by experts who have knowledge 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 authoritative experts in networks

which provide a limited amount of information

experts defined in this paper not only include authoritative experts

but also ordinary users that have a lot of knowledge in a certain field.Experiments illustrate the correctness and effectiveness of the algorithm

and the low complexity renders it suitable in handling massive user node information.