DIPP: Diffusion of Privacy Preferences in Online Social Networks
Publication date
2022
Authors
Mwanjesa, Albert
Ulusoy, Onuralp
Yolum, Pınar
Editors
Czupryna, Marcin
Kamiński, Bogumił
Advisors
Supervisors
Document Type
Part of book
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Abstract
Ensuring the privacy of users is a key component in various computer systems such as online social networks, where users often share content, possibly intended only for a certain audience but not others. The content users choose to share may affect others and may even conflict with their privacy preferences. More interestingly, individuals sharing behaviour can change over time, which indicates that privacy preferences of individuals affect others and spread throughout the network. We study the spreading of privacy preferences in online social networks with information diffusion models. Using multi-agent simulations, we show the dynamics of the spread and study the factors (e.g., trust) that influence the spread.
Keywords
Diffusion, Multi-agent systems, Privacy, Taverne, Applied Mathematics, Modelling and Simulation, Computer Science Applications
Citation
Mwanjesa, A, Ulusoy, O & Yolum, P 2022, DIPP : Diffusion of Privacy Preferences in Online Social Networks. in M Czupryna & B Kamiński (eds), Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference. Springer Proceedings in Complexity, Springer, pp. 29-40, 16th Social Simulation Conference, SSC 2021, Kraków, Poland, 20/09/21. https://doi.org/10.1007/978-3-030-92843-8_3, conference