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J. Cranshaw, E. Toch, J. Hong, A. Kittur and N. Sadeh, “Bridging the Gap Between Physical Location and Online Social Networks,” Proceedings of UBICOMP’10, New York, 26-29 September 2010, pp. 119-128.

has been cited by the following article:

• 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.