Belief Approach for Social Networks
This addresses message verification challenges for social network users, but appears incremental as it applies an existing theory to a new context.
The paper tackles the problem of detecting the true nature of messages in social networks by modeling them as information fusion networks using belief functions, proposing a new belief social network model.
Nowadays, social networks became essential in information exchange between individuals. Indeed, as users of these networks, we can send messages to other people according to the links connecting us. Moreover, given the large volume of exchanged messages, detecting the true nature of the received message becomes a challenge. For this purpose, it is interesting to consider this new tendency with reasoning under uncertainty by using the theory of belief functions. In this paper, we tried to model a social network as being a network of fusion of information and determine the true nature of the received message in a well-defined node by proposing a new model: the belief social network.