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Identifying Accelerators of Information Diffusion Across Social Media Channels

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Network Intelligence Meets User Centered Social Media Networks (ENIC 2017)

Part of the book series: Lecture Notes in Social Networks ((LNSN))

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Abstract

This paper addresses information diffusion across different social media channels. Hereon, the time delay during the diffusion process is taken into account with a new measure. This measure can be used to identify and characterize important contributions and their interdependencies in social media according to their ability to accelerate the diffusion of information. This can also be used to find the main path of fast information diffusion. The utility of the introduced approach is demonstrated in two case studies collected with a new sampling technique.

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Notes

  1. 1.

    https://dev.twitter.com/streaming/overview, as of 05/18/17.

  2. 2.

    https://www.mediawiki.org/wiki/API:Recent_changes_stream, as of 05/18/17.

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Acknowledgements

This work was partially supported by the Deutsche Forschungsgemeinschaft (DFG) under grant No. GRK 2167, Research Training Group “User-Centred Social Media.”

Author information

Authors and Affiliations

  1. University of Duisburg-Essen, Duisburg, Germany

    Tobias Hecking, Laura Steinert, Simon Leßmann, Víctor H. Masías & H. Ulrich Hoppe

Authors
  1. Tobias Hecking
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  2. Laura Steinert
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  3. Simon Leßmann
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  4. Víctor H. Masías
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  5. H. Ulrich Hoppe
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Corresponding author

Correspondence to Tobias Hecking .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, Alberta, Canada

    Reda Alhajj

  2. Department of Computer Science and Applied Cognitive Science, University of Duisburg-Essen, Duisburg, Nordrhein-Westfalen, Germany

    H. Ulrich Hoppe

  3. Computer Science and Applied Cognitive Science, University of Duisburg-Essen, Duisburg, Nordrhein-Westfalen, Germany

    Tobias Hecking

  4. Department of Computational Intelligence The Engine Centre, Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

    Piotr Bródka

  5. Faculty of Computer Science and Management The Engine Centre, Wroclaw University of Science and Technology, Wroclaw, Poland

    Przemyslaw Kazienko

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Hecking, T., Steinert, L., Leßmann, S., Masías, V.H., Hoppe, H.U. (2018). Identifying Accelerators of Information Diffusion Across Social Media Channels. In: Alhajj, R., Hoppe, H., Hecking, T., Bródka, P., Kazienko, P. (eds) Network Intelligence Meets User Centered Social Media Networks. ENIC 2017. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-90312-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-90312-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90311-8

  • Online ISBN: 978-3-319-90312-5

  • eBook Packages: Social SciencesSocial Sciences (R0)

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