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  • 标题:Current Trust Inference Mechanisms in Web Based Social Networks
  • 本地全文:下载
  • 作者:Dehghan, Zeinab ; AlMurtadha, Yahya ; Kuen, Lai Ngan
  • 期刊名称:Journal of Computer Science
  • 印刷版ISSN:1549-3636
  • 出版年度:2012
  • 卷号:8
  • 期号:9
  • 页码:1496-1500
  • DOI:10.3844/jcssp.2012.1496.1500
  • 出版社:Science Publications
  • 摘要: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.
  • 关键词:Algorithm; trust value; social network analysis
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