In Online Social Networks, in order to virally distribute some topics and, at the same time, protecting users from undesiredmessages, we propose to diffuse viral campaigns only on a second dimension of the social network. In the proposed approach, software agents assist the user by selecting the most appropriate campaigns for their owners. A users-to-campaigns matching algorithm, called Viral Filtered Diffusion, allows the agents to dynamically manage the evolution of the viral activity. Preliminary experiments clearly show the advantages in assigning to the users only campaigns compatible with their orientations.
DE MEO, P., Messina, F., Rosaci, D., Sarne', G. (2015). 2D-Social Networks: A way to virally distribute popular information avoiding spam. In Intelligent Distributed Computing VIII (pp.369-375). Berlin : Springer Verlag [10.1007/978-3-319-10422-5_38].
2D-Social Networks: A way to virally distribute popular information avoiding spam
SARNE' G
2015
Abstract
In Online Social Networks, in order to virally distribute some topics and, at the same time, protecting users from undesiredmessages, we propose to diffuse viral campaigns only on a second dimension of the social network. In the proposed approach, software agents assist the user by selecting the most appropriate campaigns for their owners. A users-to-campaigns matching algorithm, called Viral Filtered Diffusion, allows the agents to dynamically manage the evolution of the viral activity. Preliminary experiments clearly show the advantages in assigning to the users only campaigns compatible with their orientations.
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