2021
DOI: 10.1016/j.knosys.2021.107479
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Trust-based Friend Selection Algorithm for navigability in social Internet of Things

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Cited by 22 publications
(22 citation statements)
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“…Where 'X' is a continuous random variable to represent the "distance" between two entities linked by any sort of social relationship. [110].…”
Section: Bayesian Systemmentioning
confidence: 99%
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“…Where 'X' is a continuous random variable to represent the "distance" between two entities linked by any sort of social relationship. [110].…”
Section: Bayesian Systemmentioning
confidence: 99%
“…To calculate the contextual trust of an object for each context with respect to each service [46]. Probability Distribution To predict each entity's characteristics and its relationship to its peers [110].…”
Section: Probability Densitymentioning
confidence: 99%
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“…2) Network Navigability: To make the service discovery process more efficient by utilizing various relationships (e.g., friendship, communities, location) and use these social link to navigate the network, thus reducing the average path length between the participating objects (i.e., service requester and service provider) [51]. In SIoT systems, an object utilizes friends and its friends of friends to search a specific service, nevertheless, it is not feasible for an object to establish a relationship (i.e., to make friendship) with all the objects, and accordingly, a number of researchers have proposed the idea of employing friendship selection methods for choosing minimal friends and to provide the network navigability with reduced path length between the pair of objects using the friendship links [38][52] [58].…”
Section: B Recent Research Activities In Siotmentioning
confidence: 99%