@article {429,
	title = {Bibliometrical analysis on the big data research in China},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {383 - 390},
	abstract = {The author investigated the big data papers included China Academic Journal Network Publishing Database of CNKI from 2002 to 2012, with the help of multivariate statistical analysis tools SPSS17.0 of cluster analysis, multidimensional scaling analysis and visualization tools Ucinet6 from posting growth law, distribution of authors, research institutes distribution, periodical distribution, and high-frequency words such as multiple perspectives bibliometrical analysis and visualization analysis, the data reveal a large field of research status, and summarizes research characteristics,in order to study big data in-depth development and the future development of big data provide reference information.},
	keywords = {Big Data, Cluster Analysis, Co-word analysis, Multidimensional Analysis, Visualization},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84892171702\&partnerID=40\&md5=aeba904bd887d86dc21fc4991f64a215},
	author = {Ruixian, Y.}
}
