2015³â ÄÄÇ»ÅÍÁ¾ÇÕÇмú´ëȸ
Current Result Document : 11 / 11
ÇѱÛÁ¦¸ñ(Korean Title) |
Rumors in the Social Network: Finding the Offenders Using Influence Maximization |
¿µ¹®Á¦¸ñ(English Title) |
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ÀúÀÚ(Author) |
Ashis Talukder
Rossi Kamal
Anupam Kumar Bairagi
Md Golam Rabiul Alam
Sarder
Fakhrul Abedin
Md Abu Layek
Nguyen H. Tran
Choong Seon Hong
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¿ø¹®¼ö·Ïó(Citation) |
VOL 42 NO. 01 PP. 1214 ~ 1216 (2015. 06) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
In recent years, information sharing among the social network users has been increased tremendously. Sometimes false information called ¡®Rumor¡¯ becomes viral and causes different types of penalties including monetary loss in financial organization. On the other hand, Influence Maximization (IM) problem in the social network is based on viral marketing or word-of-mouth effect. In this paper, we have tried to fit IM problem to trace out the sources of rumor in the social network. We have also included a simulation based on synthesized data.
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Å°¿öµå(Keyword) |
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