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Trust Prediction Framework for Social Networking

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dc.contributor.author Sint, Hla Sann
dc.contributor.author Oo, Khine Khine
dc.date.accessioned 2019-07-22T08:07:31Z
dc.date.available 2019-07-22T08:07:31Z
dc.date.issued 2019-02-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1172
dc.description.abstract In today's hyper-connected society, understanding the mechanisms of trust is crucial. Trust issues are critical to solving problems. Trust phenomenon has been extensively explored by a variety of disciplines across the social sciences, including economics, social psychology, and political science. Trust is a concept with many facets and dimensions. In this paper, Prediction Trust Framework based on the evaluation of trust value and Improved PageRank Algorithm will propose for evaluation trust in OSNs (Online Social Networks). This evaluation framework designs to integrate theoretical concepts from the trust literature, social network and helps to other different trust-related problems in OSNs. en_US
dc.language.iso en en_US
dc.publisher Seventeenth International Conference on Computer Applications(ICCA 2019) en_US
dc.subject OSNs en_US
dc.subject trust Evaluation en_US
dc.subject Improved PageRank Algorithm en_US
dc.subject Machine Learning en_US
dc.title Trust Prediction Framework for Social Networking en_US
dc.type Article en_US


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