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Profile Reconciliation Through Dynamic Activities Across Social Networks

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Advanced Information Systems Engineering (CAiSE 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11483))

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Abstract

Since today’s online social media serve diverse purposes such as social and professional networking, photo and blog sharing, it is not uncommon for people to have multiple profiles across different social networks. Finding or reconciling these profiles would allow the creation of a holistic view of different facets of a person’s life that can be used by recommender systems, human resource management, marketing activities and also raise awareness about the potential threats to one person’s privacy. In this paper, we propose a new approach for reconciling profiles based on their temporal activity (i.e., timestamped posts) shared across similar-scope social networks. The timestamped posts are compared by considering different dynamic attributes originating from what the user shares (geographical data, text, tags, and photos) and static attributes (username and real name). Our evaluation on Flickr and Twitter social networks datasets shows that the temporal activity is a good predictor of two profiles referring or not to the same user.

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Notes

  1. 1.

    The graph is obtained by running the algorithm on a sample of the dataset (7%) consisting of posts of March 2017 only. The sequential version is very time-consuming to be run on the whole dataset.

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Authors and Affiliations

  1. Laboratoire de Recherche en Informatique LRI, 91190, Gif-sur-Yvette, France

    Suela Isaj, Nacéra Bennacer Seghouani & Gianluca Quercini

  2. Aalborg University, 9220, Aalborg, Denmark

    Suela Isaj

Authors
  1. Suela Isaj
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  2. Nacéra Bennacer Seghouani
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  3. Gianluca Quercini
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Corresponding author

Correspondence to Suela Isaj .

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Editors and Affiliations

  1. University of Trento, Trento, Italy

    Paolo Giorgini

  2. University of St. Gallen, St. Gallen, Switzerland

    Barbara Weber

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Isaj, S., Bennacer Seghouani, N., Quercini, G. (2019). Profile Reconciliation Through Dynamic Activities Across Social Networks. In: Giorgini, P., Weber, B. (eds) Advanced Information Systems Engineering. CAiSE 2019. Lecture Notes in Computer Science(), vol 11483. Springer, Cham. https://doi.org/10.1007/978-3-030-21290-2_9

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  • DOI: https://doi.org/10.1007/978-3-030-21290-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21289-6

  • Online ISBN: 978-3-030-21290-2

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