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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document : 10 / 68 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) ¼Ò¼È³×Æ®¿öÅ© ºÐ¼®°ú Co-word ºÐ¼®À» »ç¿ëÇÑ Altmetric ¿¬±¸ °³¹ßµ¿Çâ
¿µ¹®Á¦¸ñ(English Title) Development Tendency of Altmetrics Research: Using Social Network Analysis and Co-word Analysis
ÀúÀÚ(Author) ¼Û½Â±Ù   Seung-Keun Song   ÀÌÇöâ   ÀÌ°¡¹è   ½Å¼ºÀ±   Hyun-Chang Lee   Jiapei Li   Seong-Yoon Shin  
¿ø¹®¼ö·Ïó(Citation) VOL 21 NO. 11 PP. 2089 ~ 2094 (2017. 11)
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(Korean Abstract)
¾ËÆ®¸ÞÆ®¸¯½º´Â ÀοëÀ» ±â¹ÝÀ¸·Î ÇÑ ÀüÅëÀûÀÎ ÁöÇ¥¸¦ º¸¿ÏÇϱâ À§ÇÑ ÃøÁ¤ ÁöÇ¥À̸鼭 Á¤·«Àû µ¥ÀÌÅÍÀÌ´Ù. ÀÌ·¯ÇÑ ¾ËÆ®¸ÞÆ®¸¯½º ¿¡ °üÇÑ ¿¬±¸´Â Áö³­ ¸î ³â°£ ÀüÅëÀûÀÎ °è·® Á¤º¸ÇÐÀÇ º¸¿Ï¿¡ ÈûÀÔ¾î Áß¿äÇÑ ºñÁßÀ» Â÷ÁöÇØ¿À°í ÀÖ´Ù. º» ³í¹®Àº ¾ËÆ®¸ÞÆ®¸¯½º ¿¬±¸ ÇöȲ°ú µ¿ÇâÀ» ÆľÇÇÏ´Â °ÍÀ» ¸ñÀûÀ¸·Î ÇÑ´Ù. ÃÑ 187°ÇÀÇ ³í¹®À» ºÐ¼®ÇÏ¿´À¸¸ç, À̸¦ÅëÇØ 2005³âÀÌÈÄ·Î ¾ËÆ®¸ÞÆ®¸¯½º ¿¬±¸¿¡ Áö¼ÓÀûÀÎ »ó½ÂÀÌ ÀÖÀ½À» ¾Ë ¼ö ÀÖ´Ù. ¼Ò¼È ³×Æ®¿öÅ© ºÐ¼®°ú co-word ºÐ¼®À» »ç¿ëÇÏ¿© ÀúÀÚ Çùµ¿ ³×Æ®¿öÅ©¿Í Å°¿öµå °øÁ¸ ³×Æ®¿öÅ©¸¦ ±¸ÃàÇÑ´Ù. °èÃþÀû Ŭ·¯½ºÅ͸µÀ¸·Î 4°³ÀÇ ¾ËÆ®¸ÞÆ®¸¯½º ¿¬±¸°¡ ¹ß°ßµÇ¾úÀ¸¸ç, ±× °á°ú´Â ¾ËÆ®¸ÞÆ®¸¯½ºÀÇ ÃßÈÄ ¿¬±¸¿¡ ¸Å¿ì À¯¿ëÇÒ ¼ö ÀÖ´Ù.
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(English Abstract)
Altmetrics is the measurement index and quantitative data to complement the traditional indicators based on the citation. Altmetrics research has acquired greater importance in the past few years, partly due to the complement to the traditional bibliometrics. This paper aims to reveal the research status and trends in altmetrics research. A total of 187 articles from 2005 to 2017 are obtained and analyzed, illustrating a steady rise (S-mode) in altmetrics research since 2005. Using social network analysis and co-word analysis, the author cooperation network and keyword co-occurrence network are developed. The core scientists and eight international research groups are discovered, reflecting that researchers in this field have a low degree of cooperation. Four topics of altmetrics research are discovered by hierarchical clustering. The results can be useful for the advanced research of altmetrics.
Å°¿öµå(Keyword) VR ½Ã¹Ä·¹ÀÌÅÍ   VR ÄÜÅÙÃ÷   °ÔÀÓ»ê¾÷¹ý   °ü±¤ÁøÈï¹ý   µî±ÞºÐ·ù   °Ë»ç   VR Simulator   VR Contents   Game Industry Act   Tourism Promotion Act   Classification   Inspection   ¾ËÆ®¸ÞÆ®¸¯½º   ¼Ò¼È³×Æ®¿öÅ© ºÐ¼®   °øÅë¾îºÐ¼®   °ø¹ß»ý ³×Æ®¿öÅ©   Altmetrics   Social Network Analysis   Co-word Analysis   Co-occurrence Network  
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