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Scientific Programming
Volume 2015, Article ID 602690, 10 pages
http://dx.doi.org/10.1155/2015/602690
Research Article

A Community-Based Approach for Link Prediction in Signed Social Networks

1Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia
2Advanced Community and Information System, RWTH Aachen University, Ahornstraße 55, 52056 Aachen, Germany

Received 28 February 2014; Accepted 8 October 2014

Academic Editor: Przemyslaw Kazienko

Copyright © 2015 Saeed Reza Shahriary et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Saeed Reza Shahriary, Mohsen Shahriari, and Rafidah MD Noor, “A Community-Based Approach for Link Prediction in Signed Social Networks,” Scientific Programming, vol. 2015, Article ID 602690, 10 pages, 2015. https://doi.org/10.1155/2015/602690.