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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸Åë½ÅÇÐȸ Çмú´ëȸ > 2018³â Ãá°èÇмú´ëȸ

2018³â Ãá°èÇмú´ëȸ

Current Result Document : 5 / 5

ÇѱÛÁ¦¸ñ(Korean Title) ´ÙÁßºóµµ Å°¿öµå °¡½ÃÈ­¿¡ °üÇÑ ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) A Study on Multi-frequency Keyword Visualization based on Co-occurrence
ÀúÀÚ(Author) ÀÌÇöâ   ½Å¼ºÀ±   HyunChang Lee   SeongYoon Shin  
¿ø¹®¼ö·Ïó(Citation) VOL 22 NO. 01 PP. 0077 ~ 0077 (2018. 05)
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(Korean Abstract)
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(English Abstract)
Recently, interest in data analysis has increased as the importance of big data becomes more important. Particularly, as social media data and academic research communities become more active and important, analysis becomes more important. In this study, co-word analysis was conducted through altmetrics articles collected from 2012 to 2017. In this way, the co-occurrence network map is derived from the keyword and the emphasized keyword is extracted.
Å°¿öµå(Keyword) altmetrics   co-word analysis   co-occurrence matrix  
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