Research Article Open Access

Current Trust Inference Mechanisms in Web Based Social Networks

Zeinab Dehghan1, Yahya AlMurtadha1, Lai Ngan Kuen1 and Zailan Abdul Salam1
  • 1 Asia Pacific University, Malaysia
Journal of Computer Science
Volume 8 No. 9, 2012, 1496-1500

DOI: https://doi.org/10.3844/jcssp.2012.1496.1500

Submitted On: 2 May 2012 Published On: 11 August 2012

How to Cite: Dehghan, Z., AlMurtadha, Y., Kuen, L. N. & Salam, Z. A. (2012). Current Trust Inference Mechanisms in Web Based Social Networks. Journal of Computer Science, 8(9), 1496-1500. https://doi.org/10.3844/jcssp.2012.1496.1500

Abstract

Problem statement: Nowadays, web based social networks have gained a lot of attention. Over one billion users participate, communicate and share information on these networks based on trust. Approach: One important issue on online social networks is how much one person can trust another person in the network whom they are not directly connected. Scholars around the world have introduced a variety of models and algorithms for inferring trust in online social networks. This study takes a deep look at current methods, their advantages and disadvantages. Results: All current methods have weaknesses and cannot be considered the best solution for inferring trust. Conclusion: Considering the fact that web based social networks are based on trust upon participants, a more accurate and fast algorithm is needed to infer trustworthiness and help users gain valuable information.

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Keywords

  • Algorithm
  • trust value
  • social network analysis