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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) |
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Yixuan Yang
Sony Peng
Doo-Soon Park
Seok-Hoon Kim
HyeJung Lee
Sophort Siet
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¿ø¹®¼ö·Ïó(Citation) |
VOL 29 NO. 02 PP. 0374 ~ 0376 (2022. 11) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (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. |
Å°¿öµå(Keyword) |
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PDF ´Ù¿î·Îµå
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