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  1. University of Computer Studies, Yangon
  2. Conferences

Trust Prediction Framework for Social Networking

http://hdl.handle.net/20.500.12678/0000003419
http://hdl.handle.net/20.500.12678/0000003419
9dff31d0-d768-49ce-9552-c814e322389f
b7f0bc2a-3a89-45b1-adf3-27390067648f
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ICCA ICCA 2019 Proceedings Book-pages-92-98.pdf (675 Kb)
Publication type
Article
Upload type
Publication
Title
Title Trust Prediction Framework for Social Networking
Language en
Publication date 2019-02-27
Authors
Sint, Hla Sann
Oo, Khine Khine
Description
In today's hyper-connected society,understanding the mechanisms of trust is crucial.Trust issues are critical to solving problems. Trustphenomenon has been extensively explored by avariety of disciplines across the social sciences,including economics, social psychology, and politicalscience. Trust is a concept with many facets anddimensions. In this paper, Prediction TrustFramework based on the evaluation of trust valueand Improved PageRank Algorithm will propose forevaluation trust in OSNs (Online Social Networks).This evaluation framework designs to integratetheoretical concepts from the trust literature, socialnetwork and helps to other different trust-relatedproblems in OSNs.
Keywords
OSNs, trust Evaluation, Improved PageRank Algorithm, Machine Learning
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1172
Journal articles
Seventeenth International Conference on Computer Applications(ICCA 2019)
Conference papers
Books/reports/chapters
Thesis/dissertations
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