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Visual Analysis Oriented Computer Science Literature On CSCD

Posted on:2015-11-19Degree:MasterType:Thesis
Country:ChinaCandidate:H D DuFull Text:PDF
GTID:2298330422969997Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
The computer science has made great achievements until now. It has changed humanbeing’s thinking of the world from the concept and brought human society into theinformation age. Computer science and technology has become an important part of oureveryday lives and the information technology is taking more and more important for theadvancement, development and prosperity of human society.In recent years, the researchers use different databases on paper research trends, but thestudy of computer science thesis analyzes is less.《Journal of Computer》 and 《Journal ofSoftware》are top journals of computer science enjoying high reputation, can reflect the levelof computer science in China. Based on the two journal papers, we use the method ofscientometrics analysis and visual display for present development, intuitively show computerscience evolution rule. This paper uses keywords network diagram to evaluate scientificresearch institutions concentration, and guide the rational distribution of scientific researchinstitutions resources has important significance. In this paper, the main work is as follows:1、we use citation analysis and word analysis for published papers, with Visual analysistools such as SPSS、Pajek、Excel and my own program for intuitively showing the hot workdistribution and research trends of computer science, also interpret the experiment results.2、we give the concept of annual hot keywords, based which draw chart of annual hotkeywords. From this chart, we see computer science hot fields for each year and intuitivelydisplay change and development over years, and also predict the future of hot research areas.3、According to the relationship between the co-words, we map keywords network,which results can support the results by citation analysis. It can describe hot areas of researchjournal as well, overcoming dimensional analysis method to the past interdisciplinarykeywords show is not clear, poor effect of defects, better reflect the distribution of thescientific research achievements and research trends.4、this paper uses keywords network diagram to show the intensity of academicinstitutions and analysis research intensity, which provide quantitative basis assessment ofacademic institutions.
Keywords/Search Tags:Computer Science, Citation Analysis, Co-word Analysis, Visualization, Annual Keywords, Network Diagram
PDF Full Text Request
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