ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGY
Nowadays, along with the development of Information Technology (IT), more and more people use social networking sites, especially Facebook, to build and expand their relationships. However, with the diversity and abundance of users, the credibility of friends on Facebook is of great concern to many...
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Format: | Article |
Language: | English |
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Dalat University
2018-07-01
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Series: | Tạp chí Khoa học Đại học Đà Lạt |
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Online Access: | http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/413 |
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author | Phạm Thị Thu Thúy |
author_facet | Phạm Thị Thu Thúy |
author_sort | Phạm Thị Thu Thúy |
collection | DOAJ |
description | Nowadays, along with the development of Information Technology (IT), more and more people use social networking sites, especially Facebook, to build and expand their relationships. However, with the diversity and abundance of users, the credibility of friends on Facebook is of great concern to many users. This article aims to measure reliability (trust) by using user interactions on Facebook including likes, comments, and friends' tags on users’ photos and posts. This paper synthesizes and analyzes common reliability formulas and presents a reliability algorithm. |
format | Article |
id | doaj-art-09380f811db4482a85acbc2c0ec01855 |
institution | Kabale University |
issn | 0866-787X 0866-787X |
language | English |
publishDate | 2018-07-01 |
publisher | Dalat University |
record_format | Article |
series | Tạp chí Khoa học Đại học Đà Lạt |
spelling | doaj-art-09380f811db4482a85acbc2c0ec018552025-02-02T15:06:37ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X0866-787X2018-07-018213915010.37569/DalatUniversity.8.2.413(2018)248ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGYPhạm Thị Thu Thúy0Khoa Công nghệ Thông tin, Trường Đại học Nha TrangNowadays, along with the development of Information Technology (IT), more and more people use social networking sites, especially Facebook, to build and expand their relationships. However, with the diversity and abundance of users, the credibility of friends on Facebook is of great concern to many users. This article aims to measure reliability (trust) by using user interactions on Facebook including likes, comments, and friends' tags on users’ photos and posts. This paper synthesizes and analyzes common reliability formulas and presents a reliability algorithm.http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/413độ tin cậyfacebookontology |
spellingShingle | Phạm Thị Thu Thúy ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGY Tạp chí Khoa học Đại học Đà Lạt độ tin cậy ontology |
title | ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGY |
title_full | ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGY |
title_fullStr | ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGY |
title_full_unstemmed | ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGY |
title_short | ALGORITHMS TO IDENTIFY TRUST AMONG FRIENDS ON SOCIAL NETWORKING SITES BASED ON ONTOLOGY |
title_sort | algorithms to identify trust among friends on social networking sites based on ontology |
topic | độ tin cậy ontology |
url | http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/413 |
work_keys_str_mv | AT phamthithuthuy algorithmstoidentifytrustamongfriendsonsocialnetworkingsitesbasedonontology |