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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö D : µ¥ÀÌŸº£À̽º

Á¤º¸°úÇÐȸ ³í¹®Áö D : µ¥ÀÌŸº£À̽º

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) [2009³âµµ Çлý³í¹® °æÁø´ëȸ ¼ö»óÀÛ] ºí·Î±× ¿ùµå¿¡¼­ ÁÖÁ¦ Áß½ÉÀÇ ÀáÀçÀû Ä¿¹Â´ÏƼ ÃßÃâ ¹æ¾È
¿µ¹®Á¦¸ñ(English Title) [2009³âµµ Çлý³í¹® °æÁø´ëȸ ¼ö»óÀÛ] Extraction of Latent Topic-based Communities in Blogspace
ÀúÀÚ(Author) ½ÅÁ¤È¯   À±¼®È£   ±è»ó¿í   ¹Ú¼±ÁÖ   Jung-Hwan Shin   Seok-Ho Yoon   Sang-Wook Kim   Sunju Park  
¿ø¹®¼ö·Ïó(Citation) VOL 37 NO. 01 PP. 0056 ~ 0069 (2010. 02)
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(Korean Abstract)
ºí·Î±× ¿ùµå¿¡´Â µ¿ÀÏÇÑ ÁÖÁ¦¿Í °ü·ÃµÈ Æ÷½ºÆ®µé°ú ÀÌ Æ÷½ºÆ®µé¿¡ °øÅëÀûÀ¸·Î °ü½ÉÀ» º¸ÀÌ´Â ºí·Î°ÅµéÀÌ Á¸ÀçÇÑ´Ù. º» ³í¹®¿¡¼­´Â ÀÌ·¯ÇÑ ºí·Î°Åµé°ú Æ÷½ºÆ®µéÀÇ ÁýÇÕÀ» ºí·Î±× Ä¿¹Â´ÏƼ·Î Á¤ÀÇÇÑ´Ù. ºí·Î±× Ä¿¹Â´ÏƼ´Â Ÿ°Ù ¸¶ÄÉÆÃ, ¾çÁúÀÇ Á¤º¸ °øÀ¯, ºí·Î±× ¿ùµåÀÇ È°¼ºÈ­ µî ´Ù¾çÇÑ ºí·Î±× ºñÁî´Ï½º Á¤Ã¥À» ¼ö¸³Çϴµ¥ È°¿ëµÉ ¼ö ÀÖ´Ù. ºí·Î±× Ä¿¹Â´ÏƼ´Â Ä«Æä µî°ú ´Þ¸® ¸â¹ö½ÊÀ¸·Î ¿î¿µµÇ´Â Áý´ÜÀÌ ¾Æ´Ï±â ¶§¹®¿¡ Ä¿¹Â´ÏƼ¿¡ ¼ÓÇÏ´Â ¸â¹ö¸¦ ½±°Ô ÆľÇÇÒ ¼ö ¾ø´Ù. º» ³í¹®¿¡¼­´Â ÁÖ¾îÁø ÁÖÁ¦¿Í °ü·ÃµÈ ºí·Î±× Ä¿¹Â´ÏƼ¸¦ ÃßÃâÇÏ´Â È¿°úÀûÀÎ ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ¸ÕÀú, ÁÖ¾îÁø ÁÖÁ¦¿¡ ´ëÇÑ ½Ãµå Æ÷½ºÆ®µéÀ» ¼±ÅÃÇÏ°í, ÀÌ ½Ãµå Æ÷½ºÆ®µéÀ» ÅëÇؼ­ ÁÖÁ¦¿Í °ü·ÃµÈ ºí·Î°ÅµéÀ» ¼±ÅÃÇÑ´Ù. ´ÙÀ½À¸·Î, ¼±ÅÃµÈ ºí·Î°ÅµéÀ» ÅëÇؼ­ ÁÖÁ¦¿Í °ü·ÃµÈ Æ÷½ºÆ®µéÀ» ¼±ÅÃÇÑ´Ù. ÀÌ¿Í °°Àº °úÁ¤À» ¹Ýº¹ÇØ ³ª°¡¸é¼­ ºí·Î±× ¿ùµå¿¡ Á¸ÀçÇÏ´Â ÁÖ¾îÁø ÁÖÁ¦¿Í °ü·ÃµÈ ºí·Î°Åµé°ú Æ÷½ºÆ®µéÀ» ¼±¹ßÇÑ´Ù. º» ³í¹®¿¡¼­´Â ÃßÃâµÈ ºí·Î±× Ä¿¹Â´ÏƼ ÁÖÁ¦ÀÇ Á¤È®µµ¸¦ ÃøÁ¤ÇÔÀ¸·Î½á Á¦¾ÈÇÏ´Â ¹æ¹ýÀÇ ¿ì¼ö¼ºÀ» °ËÁõÇÏ¿´´Ù.
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(English Abstract)
In blogspace, there are posts that deal with a common topic and bloggers that are interested in these posts. In this paper, we define a blog community as a group of these bloggers and posts. With a blog community, we can establish various business policies for target marketing, sharing high quality data, and mobilizing the activities in the blogspace. Unlike internet cafes, bloggers participate in blog communities without explicit membership. So, it is not easy to identify the members of a community. In this paper, we propose an effective approach for extracting a blog community that is related to a given topic. First, we choose seed posts that is highly related to a given topic, and select bloggers that are related to the topic with the seed posts. Then, we select posts that are related to the topic with the selected bloggers. By repeating this, we find all the posts and bloggers that are members of the community related to a given topic in blogspace. We verify the superiority of the proposed approach by analyzing extracted blog communities.
Å°¿öµå(Keyword) ºí·Î±×¿ùµå   ºí·Î±× Ä¿¹Â´ÏƼ ÃßÃâ   µ¥ÀÌÅÍ ¸¶ÀÌ´×   Blogosphere   Extraction of Blog Communities   Data Mining  
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