Predict Edges in Fliker Social Network Using Data Mining Method

HTML  Download Download as PDF (Size: 318KB)  PP. 60-65  
DOI: 10.4236/iim.2012.43009    4,577 Downloads   8,012 Views  Citations

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.

Share and Cite:

A. Hossein Rasekh, Z. Liaghat and A. Mahdavi, "Predict Edges in Fliker Social Network Using Data Mining Method," Intelligent Information Management, Vol. 4 No. 3, 2012, pp. 60-65. doi: 10.4236/iim.2012.43009.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.