Trust Checking in Social Networks Using Data Mining
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 2)Publication Date: 2015-02-05
Authors : Archa.S;
Page : 1127-1129
Keywords : Personalization; Reputation; Recommendation; Social networks; Trust;
Abstract
Now social network analysis gained many interest because of the large popularity of social media, social networking applications, blogs, or customer review sites. It mainly checks trust (and distrust) between people who belongs to communities in social networks. In social networks, trust is an essential quality between the user interactions and the recommendation for trustful content and users. This particular system is based on a reputation mechanism that rates the participants using previous experiences, observations, and other members opinion. In this paper, a collaborative reputation mechanism is used that collects and checks the users connections and capitalizes on trust propagation. Here it point out that this system can be applied to any type of social network.
Other Latest Articles
- Motivational Training Programme for Oral Hygiene of Deaf Children
- CAPM Beta and the UK Stock Returns
- Scalable Uninterrupted Network Service Using LTE
- Risk Assessment for the Development of Caries in Visually Impaired Children in Sofia City, Bulgaria
- Common Fixed Point Theorem for Eight Mappings in Menger Space Using Rational Inequality Without Continuity
Last modified: 2021-06-30 21:22:46