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Community detection for access-control decisions: Analysing the role of homophily and information diffusion in Online Social Networks

Díaz Ferreyra, Nicolás and Hecking, Tobias and Aimeur, Esma and Heisel, Maritta and Hoppe, H. Ulrich (2022) Community detection for access-control decisions: Analysing the role of homophily and information diffusion in Online Social Networks. Online Social Networks and Media, 29, p. 100203. Elsevier. doi: 10.1016/j.osnem.2022.100203. ISSN 2468-6964.

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Official URL: https://www.sciencedirect.com/science/article/pii/S2468696422000076

Abstract

Access-Control Lists (ACLs) (a.k.a. “friend lists”) are one of the most important privacy features of Online Social Networks (OSNs) as they allow users to restrict the audience of their publications. Nevertheless, creating and maintaining custom ACLs can introduce a high cognitive burden on average OSNs users since it normally requires assessing the trustworthiness of a large number of contacts. In principle, community detection algorithms can be leveraged to support the generation of ACLs by mapping a set of examples (i.e. contacts labelled as “untrusted”) to the emerging communities inside the user’s ego-network. However, unlike users’ access-control preferences, traditional community-detection algorithms do not take the homophily characteristics of such communities into account (i.e. attributes shared among members). Consequently, this strategy may lead to inaccurate ACL configurations and privacy breaches under certain homophily scenarios. This work investigates the use of community-detection algorithms for the automatic generation of ACLs in OSNs. Particularly, it analyses the performance of the aforementioned approach under different homophily conditions through a simulation model. Furthermore, since private information may reach the scope of untrusted recipients through the re-sharing affordances of OSNs, information diffusion processes are also modelled and taken explicitly into account. Altogether, the removal of gatekeeper nodes is further explored as a strategy to counteract unwanted data dissemination.

Item URL in elib:https://elib.dlr.de/185528/
Document Type:Article
Title:Community detection for access-control decisions: Analysing the role of homophily and information diffusion in Online Social Networks
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Díaz Ferreyra, Nicolásnicolas.diaz-ferreyra (at) tuhh.deUNSPECIFIED
Hecking, TobiasTobias.Hecking (at) dlr.dehttps://orcid.org/0000-0003-0833-7989
Aimeur, Esmaaimeur (at) iro.umontreal.caUNSPECIFIED
Heisel, MarittaUniversität Duisburg-EssenUNSPECIFIED
Hoppe, H. Ulrichhoppe (at) collide.infoUNSPECIFIED
Date:4 March 2022
Journal or Publication Title:Online Social Networks and Media
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:29
DOI :10.1016/j.osnem.2022.100203
Page Range:p. 100203
Publisher:Elsevier
ISSN:2468-6964
Status:Published
Keywords:Information diffusion Access control Online social networks Community detection Homophily
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Köln-Porz
Institutes and Institutions:Institute for Software Technology
Institute for Software Technology > Intelligent and Distributed Systems
Deposited By: Hecking, Tobias
Deposited On:07 Mar 2022 08:43
Last Modified:11 Mar 2022 10:53

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