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Ruben Verborgh

Modeling Information Diffusion in Social Media as Provenance with W3C PROV

Io Taxidou, Tom De Nies, Ruben Verborgh, Peter Fischer, Erik Mannens, and Rik Van de Walle

In recent years, research in information diffusion in social media has attracted a lot of attention, since the produced data is fast, massive and viral. Additionally, the provenance of such data is equally important because it helps to judge the relevance and trust-worthiness of the information enclosed in the data. However, social media currently provide insufficient mechanisms for provenance, while models of information diffusion use their own concepts and notations, targeted to specific use cases. In this paper, we propose a model for information diffusion and provenance, based on the W3C PROV Data Model. The advantage is that PROV is a Web-native and interoperable format that allows easy publication of provenance data, and minimizes the integration effort among different systems making use of PROV.

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Published in 2015 in Proceedings of the 6th International Workshop on Modeling Social Media.

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Cite this article easily using its BibTeX entry:

@inproceedings{taxidou_msm_2015,
  author = {Taxidou, Io and De Nies, Tom and Verborgh, Ruben and Fischer, Peter and Mannens, Erik and Van de Walle, Rik},
  title = {Modeling Information Diffusion in Social Media as Provenance with {W3C PROV}},
  year = 2015,
  month = may,
  pages = {819--824},
  booktitle = {Proceedings of the 6th International Workshop on Modeling Social Media},
  url = {http://www.www2015.it/documents/proceedings/companion/p819.pdf},
}

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ACM
Io Taxidou, Tom De Nies, Ruben Verborgh, Peter Fischer, Erik Mannens, and Rik Van de Walle. 2015. Modeling Information Diffusion in Social Media as Provenance with W3C PROV. In Proceedings of the 6th International Workshop on Modeling Social Media, 819–824.
APA
Taxidou, I., De Nies, T., Verborgh, R., Fischer, P., Mannens, E., & Van de Walle, R. (2015). Modeling Information Diffusion in Social Media as Provenance with W3C PROV. Proceedings of the 6th International Workshop on Modeling Social Media, 819–824.
IEEE
I. Taxidou, T. De Nies, R. Verborgh, P. Fischer, E. Mannens, and R. Van de Walle, “Modeling Information Diffusion in Social Media as Provenance with W3C PROV,” in Proceedings of the 6th International Workshop on Modeling Social Media, 2015, pp. 819–824.
LNCS
Taxidou, I., De Nies, T., Verborgh, R., Fischer, P., Mannens, E., Van de Walle, R.: Modeling Information Diffusion in Social Media as Provenance with W3C PROV. In: Proceedings of the 6th International Workshop on Modeling Social Media. pp. 819–824 (2015).
MLA
Taxidou, Io, et al. “Modeling Information Diffusion in Social Media as Provenance with W3C PROV.” Proceedings of the 6th International Workshop on Modeling Social Media, 2015, pp. 819–24.

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