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Selective propagation of social data in decentralized online social network

Published: 11 July 2011 Publication History

Abstract

In Online Social Networks (OSNs) users are overwhelmed with huge amount of social data, most of which are irrelevant to their interest. Due to the fact that most current OSNs are centralized, people are forced to share their data with the site, in order to be able to share it with their friends, and thus they lose control over it. Decentralized OSNs provide an alternative by allowing users to maintain control over their data. This paper proposes a decentralized OSN architecture to deal with this problem and an approach for propagation of social data in a decentralized OSN that reduces irrelevant data among users. The approach uses interaction between users to construct relationship model of interest, which acts as a filter later while propagating social data of the same interest group. This paper also presents the design of a simulation to analyze the scalability and rate of system learning (convergence) of the system using the relationship model.

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Cited By

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  • (2021)P2PCFJournal of High Speed Networks10.3233/JHS-21064927:1(13-31)Online publication date: 1-Jan-2021
  • (2016)Developing the Cloud-integrated data replication framework in decentralized online social networksJournal of Computer and System Sciences10.1016/j.jcss.2015.06.01082:1(113-129)Online publication date: 1-Feb-2016
  • (2014)Understanding and controlling the filter bubble through interactive visualizationProceedings of the 25th ACM conference on Hypertext and social media10.1145/2631775.2631811(107-115)Online publication date: 1-Sep-2014
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Information

Published In

cover image Guide Proceedings
UMAP'11: Proceedings of the 19th international conference on Advances in User Modeling
July 2011
414 pages
ISBN:9783642285080
  • Editors:
  • Liliana Ardissono,
  • Tsvi Kuflik

Sponsors

  • NSF: National Science Foundation
  • Springer
  • Microsoft Research: Microsoft Research
  • Telefónica: Telefónica
  • MICINN: MICINN

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 11 July 2011

Author Tags

  1. decentralization
  2. information propagation
  3. online social network
  4. relationship modeling

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Cited By

View all
  • (2021)P2PCFJournal of High Speed Networks10.3233/JHS-21064927:1(13-31)Online publication date: 1-Jan-2021
  • (2016)Developing the Cloud-integrated data replication framework in decentralized online social networksJournal of Computer and System Sciences10.1016/j.jcss.2015.06.01082:1(113-129)Online publication date: 1-Feb-2016
  • (2014)Understanding and controlling the filter bubble through interactive visualizationProceedings of the 25th ACM conference on Hypertext and social media10.1145/2631775.2631811(107-115)Online publication date: 1-Sep-2014
  • (2013)Providing Awareness, Understanding and Control of Personalized Stream Filtering in a P2P Social NetworkProceedings of the 19th International Conference on Collaboration and Technology - Volume 822410.1007/978-3-642-41347-6_6(61-76)Online publication date: 30-Oct-2013
  • (2011)Semantic adaptive social webProceedings of the 19th international conference on Advances in User Modeling10.1007/978-3-642-28509-7_17(176-180)Online publication date: 11-Jul-2011

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