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2013 >Issue 08: 119 - 124
Study on the Quantity Features of Chinese SSCI Literatures Based on Association Rules
Received date: 2013-01-14
Revised date: 2013-04-04
Online published: 2013-04-20
his paper analyzes the 16656 SSCI literatures from 1991 to 2010 in the way of association rules. After the redundancy results cutting, validity checking and template matching, it obtains the quantity-associated features from three perspectives of leading regions, cooperation model and achievements flow. Finally, it finds that Chinese social science research has narrow cooperation scope and single object, and China has less domination in the international cooperation and less discourse power to determine the literatures flow to.
Key words： SSCI; data mining; association rule; quantity feature
Yu Li , Qiu Changbo , Bi Datian . Study on the Quantity Features of Chinese SSCI Literatures Based on Association Rules[J]. Library and Information Service, 2013 , (08) : 119 -124 . DOI: 10.7536/j.issn.0252-3116.2013.08.022
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