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Towards a Three-tiered Social Graph in Decentralized Online Social Networks

Published: 22 June 2015 Publication History

Abstract

Online Social Networks have become one of the main tools for interpersonal online communication. In the age of the smartphone, mobile user scenarios become more and more important for Online Social Networks. Smartphones enable location-based and context-aware services, but bring the increased risk of privacy violations - at least in centralized OSN architectures. Decentralized Online Social Network architectures are promising as they inherently offer better privacy and less dependence on a single service provider, but they bring new challenges regarding core features of Online Social Networks. In this paper, we introduce a three-tiered view of the social graph and propose a new architecture for decentralized Online Social Networking applications, supporting the three-tiered view and focusing on location-based and context-aware user scenarios.

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cover image ACM Conferences
HOTPOST '15: Proceedings of the 7th International Workshop on Hot Topics in Planet-scale mObile computing and online Social neTworking
June 2015
62 pages
ISBN:9781450335171
DOI:10.1145/2757513
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 June 2015

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Author Tags

  1. context-aware services
  2. location-based services
  3. mobile social networks
  4. online social networks
  5. social graph

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HOTPOST '15 Paper Acceptance Rate 5 of 10 submissions, 50%;
Overall Acceptance Rate 5 of 10 submissions, 50%

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  • (2021)IntroductionIntegrating Psychoinformatics with Ubiquitous Social Networking10.1007/978-3-030-68840-0_1(1-19)Online publication date: 20-Jan-2021
  • (2019)Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00222(1192-1197)Online publication date: Aug-2019
  • (2019)Affinity: A System for Latent User Similarity Comparison on Texting DataICC 2019 - 2019 IEEE International Conference on Communications (ICC)10.1109/ICC.2019.8761051(1-7)Online publication date: May-2019
  • (2019)What data are smartphone users willing to share with researchers?Journal of Ambient Intelligence and Humanized Computing10.1007/s12652-019-01355-6Online publication date: 20-Jun-2019
  • (2018)TYDRProceedings of the 5th International Conference on Mobile Software Engineering and Systems10.1145/3197231.3197235(72-75)Online publication date: 27-May-2018
  • (2018)Do You Like What I Like? Similarity Estimation in Proximity-Based Mobile Social Networks2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)10.1109/TrustCom/BigDataSE.2018.00146(1040-1047)Online publication date: Aug-2018
  • (2018)Context Data Categories and Privacy Model for Mobile Data Collection AppsProcedia Computer Science10.1016/j.procs.2018.07.139134(18-25)Online publication date: 2018
  • (2017)Cross-domain discovery of communication peers: Identity Mapping and Discovery Services (IMaDS)2017 European Conference on Networks and Communications (EuCNC)10.1109/EuCNC.2017.7980642(1-6)Online publication date: Jun-2017
  • (2017)Towards Psychometrics-Based Friend Recommendations in Social Networking Services2017 IEEE International Conference on AI & Mobile Services (AIMS)10.1109/AIMS.2017.22(105-108)Online publication date: Jun-2017
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