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Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Ŭ¸®Å© ¸¶À̴׿¡ ±â¹ÝÇÑ »õ·Î¿î Ä¿¹Â´ÏƼ ŽÁö ¾Ë°í¸®Áò ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) A Novel Study on Community Detection Algorithm Based on Cliques Mining
ÀúÀÚ(Author) ¾ç¿¹¼±   Æë¼Ò´Ï   ¹ÚµÎ¼ø   ±è¼®ÈÆ   ÀÌÇýÁ¤   ½Ë¼ÒÆ÷ȣƮ   Yixuan Yang   Sony Peng   Doo-Soon Park   Seok-Hoon Kim   HyeJung Lee   Sophort Siet  
¿ø¹®¼ö·Ïó(Citation) VOL 29 NO. 02 PP. 0374 ~ 0376 (2022. 11)
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(Korean Abstract)
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(English Abstract)
Community detection is meaningful research in social network analysis, and many existing studies use graph theory analysis methods to detect communities. This paper proposes a method to detect community by detecting maximal cliques and obtain the high influence cliques by high influence nodes, then merge the cliques with high similarity in social network.
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