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Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter

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Complex Networks & Their Applications X (COMPLEX NETWORKS 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1072))

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Abstract

Interaction networks are generally much less homophilic than affiliation networks, accommodating for many more cross-cutting links. By statistically assigning a political valence to users from their follower ties, and by further contrasting interaction and affiliation on Twitter (quotes and retweets) within specific discursive events, namely quote trees, we describe a variety of cross-cutting patterns which significantly nuance the traditional “echo chamber” narrative.

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Acknowledgments

We are grateful to Telmo Menezes and Katharina Tittel for contributing to define the user perimeter and subsequently collect Twitter data. This work was supported by the “Socsemics” Consolidator grant from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 772743)

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Authors and Affiliations

  1. Computational Social Science Team, Centre Marc Bloch (CNRS/Humboldt Universität), Friedrichstr. 191, 10117, Berlin, Germany

    Camille Roth, Jonathan St-Onge & Katrin Herms

Authors
  1. Camille Roth
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  2. Jonathan St-Onge
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  3. Katrin Herms
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Corresponding author

Correspondence to Camille Roth .

Editor information

Editors and Affiliations

  1. Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid, Madrid, Spain

    Rosa Maria Benito

  2. IUT Lumière, University of Lyon, Bron Cedex, France

    Chantal Cherifi

  3. LIB, UFR Sciences et Techniques, University of Burgundy, Dijon, France

    Hocine Cherifi

  4. Grupo Interdisciplinar de Sistemas Complejos, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Esteban Moro

  5. Thomas J. Watson College of Engineering and Applied Science, Binghamton University, Binghamton, USA

    Luis M. Rocha

  6. Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Tarragona, Spain

    Marta Sales-Pardo

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Roth, C., St-Onge, J., Herms, K. (2022). Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-93409-5_58

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  • DOI: https://doi.org/10.1007/978-3-030-93409-5_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93408-8

  • Online ISBN: 978-3-030-93409-5

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