Cosine similarity-based PageRank calculation

Poomagal, S.; Hamsapriya, T.

doi:10.1504/ijws.2011.044085

Cited by 2 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2007, Tseng et al [40] proposed a set of perfect text mining technologies to assist patent analysts in carrying out various types of data analysis, the specific algorithm used in the present paper was greatly inspired by this research. In addition, some scholars have attempted to introduce the TSA into the traditional Pag-eRank algorithm, in order to develop a better algorithm for web page ranking [41,42]. However, from the application perspective, to the best of our knowledge, the TSA or PageRank algorithm has seldom been used in analyzing standard documents.…”

Section: Application Of Text Similaritymentioning

confidence: 99%

An Improved PageRank Algorithm Based on Text Similarity Approach for Critical Standards Identification in Complex Standard Citation Networks

Wei

Cui

et al. 2021

Complexity

View full text Add to dashboard Cite

A standard system, which is a powerful tool in maintaining the normal operations and development of a specific industry, is intrinsically a complex network composed of numerous standards which coordinate and interact with each other. In a networked standard system, the identification of critical standards is of great significance when drafting and revising standards. However, a majority of the existing literature has focused on the citation relationships between standards while ignoring the intrinsic interdependent relationships between the contents of standards. To overcome this limitation, we utilize the text similarity approach (TSA) to quantify the relationship intensity between each pair of standards, in order to generate a directed weighted network. The critical contribution of this study is that the similarity computed by the TSA is incorporated into the traditional PageRank algorithm for the identification of critical standards. The improved algorithm comprehensively considers the quantity and importance of neighboring standards and the citation intensity, as quantified by TSA. The algorithm is finally validated using the Chinese environmental health standards through comparison with the traditional PageRank algorithm and different classic measurements.

show abstract

Section: Application Of Text Similaritymentioning

confidence: 99%