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
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;
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
DOI :
10.1109/TrustCom.2012.45