The analysis of journal of Xi'an university of science and technology based on big data platform

Autor: Xiao-qun Liao, Xiu Li, An-xin Zhao, Jia-qing Liu, Lei Wang
Rok vydání: 2017
Předmět:
Zdroj: 2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS).
DOI: 10.1109/iccss.2017.8091483
Popis: The published papers on the journal of xi'an university of science and technology from 2007 to 2016 were collected from CNKI in this article. A total of 1511 papers were retrieved. These parameters were acquisited, such as title, author, organ, keyword, summary, PubTime, FirstDuty, fund, year, period, PageCount. Three LINUX servers were used to build Hadoop+Spark computing environment. By five aspects such as the analysis of the journals published papers, the subject distribution analysis of annual published papers, the authors frequency analysis of annual published papers, the authors'unit analysis of annual published papers, the keywords frequency analysis of annual published papers. The present situation, development and changes of the journal of xi'an university of science and technology were combed. Need to be improved in the following points :(1) the propaganda of journal should be strengthen. Some of the more high quality manuscripts should be editing, especially the draft mining related research from domestic universities and enterprises engaged in, so as to improve the visibility of the journal and the journal of expanding influence; (2) the position of journal of xi'an university of science and technology was a comprehensive journal, and meanwhile which had the characteristics of the geology and mineral resources, but it should also expand in other engineering fields, more abundant source except for in the coal mine areas.
Databáze: OpenAIRE