TITLE:
Predict Edges in Fliker Social Network Using Data Mining Method
AUTHORS:
Amir Hossein Rasekh, Zeinab Liaghat, Ala Mahdavi
KEYWORDS:
Social Network; Data Mining; Link Prediction; Regression
JOURNAL NAME:
Intelligent Information Management,
Vol.4 No.3,
May
25,
2012
ABSTRACT: Using social networking services is becoming more popular day by day. The websites of the social networks like face-book currently are among the most popular internet services just after giant portals such as Yahoo, MSN and search engines like Google. One of the main problems in analyzing these networks is the prediction of relationships between people in the network. The purpose of this paper is to forecast the friendship of a person with a new person using existing data on Flickr website accurately. In this paper, we achieved about 90% percent correct prediction with regards to the results which are obtained by using data mining methods.