Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10358365 | Journal of Informetrics | 2014 | 12 Pages |
Abstract
This study presents a unique approach in investigating the knowledge diffusion structure for the field of data quality through an analysis of the main paths. We study a dataset of 1880 papers to explore the knowledge diffusion path, using citation data to build the citation network. The main paths are then investigated and visualized via social network analysis. This paper takes three different main path analyses, namely local, global, and key-route, to depict the knowledge diffusion path and additionally implements the g-index and h-index to evaluate the most important journals and researchers in the data quality domain.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yu Xiao, Louis Y.Y. Lu, John S. Liu, Zhili Zhou,