DocumentCode
3269662
Title
A Novel System for Evaluating Website Using Link Analysis
Author
Li, Xiaoqiang ; Mi, Yun ; Jin, Yingwei ; Qi, Heng ; Li, Zhiyang
Author_Institution
Jiangxi Police Coll., Nanchang, China
fYear
2012
fDate
25-27 June 2012
Firstpage
1982
Lastpage
1987
Abstract
To eliminate the influence of subjective factors when evaluating the quality of website, this paper proposes a novel system using link analysis. In the proposed system, the indexes are classified into two categories: research index and contrast index. Principal component analysis (PCA) and fuzzy comprehensive evaluation method are used to analyze them, respectively. After analyzing, we can find the subjective factors by computing the consistency of indexes. In the evaluation of websites, we ignore these subjective factors to improve the authority of evaluation results. We conduct a large number of experiments on a group of websites. The experimental results show that the proposed system is effective.
Keywords
Web sites; data analysis; fuzzy set theory; principal component analysis; PCA; Website; contrast index; fuzzy comprehensive evaluation method; link analysis; principal component analysis; research index; Data acquisition; Eigenvalues and eigenfunctions; Google; Indexes; Internet; Principal component analysis; Vectors; Alexa; Evaluation of Website; Link Analysis; Web Impact Factor;
fLanguage
English
Publisher
ieee
Conference_Titel
Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on
Conference_Location
Liverpool
Print_ISBN
978-1-4673-2172-3
Type
conf
DOI
10.1109/TrustCom.2012.45
Filename
6296233
Link To Document