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Analysis of Predicting Trust in Complex Online Social Networks
- Source :
- Materials Today: Proceedings. 29:573-580
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Humans are utilizing one of the biggest networks of social communication by the web, the development of internet gives a way to the rise of the Online social network that assists users to communicate and accommodate between the users, thus sharing and conveying their emotions and information in an online social network. As users in the online social network are growing and performing several activities, they want trusted users or sources. Trusted users or source of information is one of the primary requirements due to security and privacy of the information. Finding future trusted user is called trust prediction. Several tools are available for predicting trust between users in an online social network. The main aim of trust prediction is to find the trust association between the users in the online social network. In the following study, researchers have at reviewed the diverse trusted-link prediction techniques and evaluated them on the basis of the provided standard dataset provided to us
Details
- ISSN :
- 22147853
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Materials Today: Proceedings
- Accession number :
- edsair.doi...........adee44a4a2ac10fadf76ff2f9fd437ae
- Full Text :
- https://doi.org/10.1016/j.matpr.2020.07.316