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  • 标题:EVALUATION OF TRUST PATH AMONG USERS IN ONLINE SOCIAL NETWORKS USING HADOOP MAP REDUCE
  • 本地全文:下载
  • 作者:A.Satish Kumar ; S.Revathy
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2021
  • 卷号:12
  • 期号:5
  • 页码:1302-1312
  • DOI:10.21817/indjcse/2021/v12i5/211205077
  • 语种:English
  • 出版社:Engg Journals Publications
  • 摘要:Online Social Networks have become vital part of our daily life. These social networks have steered into many new notions in social media, thereby providing an opportunity and to extend their mutual relationships among users though they are physically not connected. Now-a-days, there are many available social network platforms like Instagram, Twitter and Facebook. The users of these social networks are usually unknown with each other in person, but they share a lot of information through various posts, messages and other activities. If both sender and receiver are physically unknown, but connected via social media as friends, then trustworthiness among them is compulsory. Establishing a trust path between the end users is a very trivial task to be accomplished and many researchers have proposed various algorithms in their research work. This paper presents an algorithm using Hadoop Map Reduce to establish a trust path among various individuals in online social networks.
  • 关键词:Online Social Network;Trustworthiness;Hadoop;Map Reduce
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