DocumentCode
596578
Title
Study on global science and social science entropy research trend
Author
Feicheng Ma ; Penghui Lv ; Mao Ye
Author_Institution
Center for Studies of Inf. Resources, Wuhan Univ., Wuhan, China
fYear
2012
fDate
18-20 Oct. 2012
Firstpage
238
Lastpage
242
Abstract
In this paper the methods of bibliometric analysis were used to investigate the global entropy research trend based on the SCI and SSCI database, which can be employed to study the global research trend. The paper number, subjects, journals, countries, institutes, authors, citations and funding agencies were analyzed respectively on each published papers. As a concept emerged firstly from science, entropy was then extended rapidly to social science as a typical example of such concept extensions. The bibliometric analysis results make out that great academic successes were made on global entropy research and a great success were obtained from science to social science research. Entropy related researches were funded by many funding agencies and countries so that some high quality productivities were published. It is the excellent scientists as well as sufficient foundations that brought the extension on entropy from science to social science in the last two decades.
Keywords
citation analysis; database management systems; electronic publishing; entropy; social sciences; SCI database; SSCI database; authors; bibliometric analysis method; citations; countries; funding agencies; global science entropy research trend; institutes; journals; paper number; social science entropy research trend; subjects; Bibliometrics; Databases; Economics; Educational institutions; Entropy; Market research;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-1743-6
Type
conf
DOI
10.1109/ICACI.2012.6463159
Filename
6463159
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