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2D-Social Networks: A way to virally distribute popular information avoiding spam

Contributo in Atti di convegno
Data di Pubblicazione:
2015
Citazione:
2D-Social Networks: A way to virally distribute popular information avoiding spam / DE MEO, P; Messina, F; Rosaci, D; Sarne', G. - 570:(2015), pp. 369-375. ( IDC 2014 : 8th International Symposium on Intelligent Distributed Computing Madrid, Spain 03-05 September 2014) [10.1007/978-3-319-10422-5_38].
Abstract:
In Online Social Networks, to virally distributed some topics and, at the same time, protecting users from undesired messages they consider as spam, we propose to diffuse viral campaigns only on a second dimension of the social network. It is managed by personal users’ agents which only select the most appropriate campaigns for their owners. In our approach 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.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
DE MEO, P; Messina, F; Rosaci, D; Sarne', G
Autori di Ateneo:
ROSACI Domenico
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/14968
Titolo del libro:
Intelligent Distributed Computing VIII
Pubblicato in:
STUDIES IN COMPUTATIONAL INTELLIGENCE
Series
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URL

http://link.springer.com/chapter/10.1007/978-10.1007/978-3-319-10422-5_383-319-10422-5_38
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