Abdallah, W., Sarhan, S., Elmougy, S. (2016). REDUCING ATTRIBUTES of FACEBOOK USERS USING ROUGH SET THEORY. test, 16(4), 29-40. doi: 10.21608/ijicis.2016.19824
W. Abdallah; S. Sarhan; Samir Elmougy. "REDUCING ATTRIBUTES of FACEBOOK USERS USING ROUGH SET THEORY". test, 16, 4, 2016, 29-40. doi: 10.21608/ijicis.2016.19824
Abdallah, W., Sarhan, S., Elmougy, S. (2016). 'REDUCING ATTRIBUTES of FACEBOOK USERS USING ROUGH SET THEORY', test, 16(4), pp. 29-40. doi: 10.21608/ijicis.2016.19824
Abdallah, W., Sarhan, S., Elmougy, S. REDUCING ATTRIBUTES of FACEBOOK USERS USING ROUGH SET THEORY. test, 2016; 16(4): 29-40. doi: 10.21608/ijicis.2016.19824

REDUCING ATTRIBUTES of FACEBOOK USERS USING ROUGH SET THEORY

International Journal of Intelligent Computing and Information Sciences
Article 3, Volume 16, Issue 4, October 2016, Pages 29-40    PDF (2.47 M)
Document Type: Original Article
DOI: 10.21608/ijicis.2016.19824
Authors
W. Abdallah1; S. Sarhan1; Samir Elmougy2
1Dept. of Computer Science, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt.
2Dept. of Computer Science, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt
Abstract
Using social networks have become one of the daily activities that billions of peoples around the world do. So, great research efforts had been done to analyze and understand these virtual communities. Among other things, link prediction is a paramount task to analyze and understand these social networks. In this paper, we investigate link prediction problem using rough set theory to discard the irrelevant attributes that could be found in the profiles of Facebook users and the proposed work
induces accuracy 97.79%.
Keywords
Link Prediction; Social networks; Rough set theory; facebook; Self-Organization Map
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