Analysis of user interest distribution and expert finding based on interest graphs

被引：0

作者：

College of Computer Science and Technology of Jilin University, Changchun ^{[1
]}

Jilin

130012, China

不详 ^{[2
]}

Jilin

130012, China

机构：

[1] College of Computer Science and Technology of Jilin University, Changchun, 130012, Jilin

[2] Symbol Computation and Knowledge Engineer of Ministry of Education of Jilin University, Changchun, 130012, Jilin

来源：

Tien Tzu Hsueh Pao | / 8卷 / 1561-1567期

关键词：

Complex network analysis; Expert finding; Interest analysis; Interest graph;

D O I：

10.3969/j.issn.0372-2112.2015.08.014

中图分类号：

学科分类号：

摘要：

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. ©, 2015, Chinese Institute of Electronics. All right reserved.

引用

页码：1561 / 1567

页数：6

共 12 条

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