DIPP: Diffusion of Privacy Preferences in Online Social Networks

Albert Mwanjesa; Onuralp Ulusoy; Pınar Yolum

doi:10.1007/978-3-030-92843-8_3

DIPP: Diffusion of Privacy Preferences in Online Social Networks

Albert Mwanjesa^*, Onuralp Ulusoy, Pınar Yolum

^*Corresponding author for this work

Utrecht University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference
Editors	Marcin Czupryna, Bogumił Kamiński
Publisher	Springer
Pages	29-40
Number of pages	12
ISBN (Print)	9783030928421
DOIs	https://doi.org/10.1007/978-3-030-92843-8_3
Publication status	Published - 2022
Event	16th Social Simulation Conference, SSC 2021 - Kraków, Poland Duration: 20 Sept 2021 → 24 Sept 2021

Publication series

Name	Springer Proceedings in Complexity
ISSN (Print)	2213-8684
ISSN (Electronic)	2213-8692

Conference

Conference	16th Social Simulation Conference, SSC 2021
Country/Territory	Poland
City	Kraków
Period	20/09/21 → 24/09/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Diffusion
Multi-agent systems
Privacy

Access to Document

10.1007/978-3-030-92843-8_3

978-3-030-92843-8_3Final published version, 265 KBLicence: Taverne

Cite this

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title = "DIPP: Diffusion of Privacy Preferences in Online Social Networks",

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",

author = "Albert Mwanjesa and Onuralp Ulusoy and Pınar Yolum",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 16th Social Simulation Conference, SSC 2021 ; Conference date: 20-09-2021 Through 24-09-2021",

year = "2022",

doi = "10.1007/978-3-030-92843-8_3",

language = "English",

isbn = "9783030928421",

series = "Springer Proceedings in Complexity",

publisher = "Springer",

pages = "29--40",

editor = "Marcin Czupryna and Bogumi{\l} Kami{\'n}ski",

booktitle = "Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference",

}

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

DIPP: Diffusion of Privacy Preferences in Online Social Networks. / Mwanjesa, Albert; Ulusoy, Onuralp ; Yolum, Pınar.
Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference. ed. / Marcin Czupryna; Bogumił Kamiński. Springer, 2022. p. 29-40 (Springer Proceedings in Complexity).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - DIPP

T2 - 16th Social Simulation Conference, SSC 2021

AU - Mwanjesa, Albert

AU - Ulusoy, Onuralp

AU - Yolum, Pınar

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Diffusion

KW - Multi-agent systems

KW - Privacy

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U2 - 10.1007/978-3-030-92843-8_3

DO - 10.1007/978-3-030-92843-8_3

M3 - Conference contribution

AN - SCOPUS:85128738095

SN - 9783030928421

T3 - Springer Proceedings in Complexity

SP - 29

EP - 40

BT - Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference

A2 - Czupryna, Marcin

A2 - Kamiński, Bogumił

PB - Springer

Y2 - 20 September 2021 through 24 September 2021

ER -

DIPP: Diffusion of Privacy Preferences in Online Social Networks

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