Hybridization Approach to Classify Big Data Using Social Internet of Things

Recently there has been quite a number of independent research activities that investigated the potentialities of integrating social networking concepts into Internet of Things solutions. The resulting paradigm, named Social Internet of Things has the potential to support novel applications and networking services for the IoT in more effective and efficient ways. In this context, the main contributions of this paper are the following we identify appropriate policies for the establishment and the management of social relationships between objects in such a way that the resulting social network is navigable we describe a possible architecture for the that includes the functionalities required to integrate things into a social network we analyze the characteristics of the SIoT net- work structure by means of simulations.