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A Perspective on the Ubiquity of Interaction Streams in Human Realm

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Computational Science – ICCS 2024 (ICCS 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14836))

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Abstract

Typically, for analysing and modelling social phenomena, networks are a convenient framework that allows for the representation of the interconnectivity of individuals. These networks are often considered transmission structures for processes that happen in society, e.g. diffusion of information, epidemics, and spread of influence. However, constructing a network can be challenging, as one needs to choose its type and parameters accurately. As a result, the outcomes of analysing dynamic processes often heavily depend on whether this step was done correctly. In this work, we advocate that it might be more beneficial to step down from the tedious process of building a network and base it on the level of the interactions instead. By taking this perspective, we can be closer to reality, and from the cognitive perspective, human beings are directly exposed to events, not networks. However, we can also draw a parallel to stream data mining, which brings a valuable apparatus for stream processing. Apart from taking the interaction stream perspective as a typical way in which we should study social phenomena, this work advocates that it is possible to map the concepts embodied in human nature and cognitive processes to the ones that occur in interaction streams. Exploiting this mapping can help reduce the diversity of problems that one can find in data stream processing for machine learning problems. Finally, we demonstrate one of the use cases in which the interaction stream perspective can be applied, namely, the social learning process.

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Acknowledgements

This work was supported by the Polish National Science Centre, under grant no. 2021/41/B/HS6/02798. This work was also partially funded by the European Union under the Horizon Europe grant OMINO (grant no. 101086321). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency. Neither the European Union nor European Research Executive Agency can be held responsible for them.

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Authors and Affiliations

  1. Wrocław University of Science and Technology, Department of Artificial Intelligence, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Damian Serwata, Mateusz Nurek & Radosław Michalski

Authors
  1. Damian Serwata
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  2. Mateusz Nurek
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  3. Radosław Michalski
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Correspondence to Damian Serwata .

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Editors and Affiliations

  1. University of Malaga, Malaga, Spain

    Leonardo Franco

  2. University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier

  3. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  4. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  5. University of Tennessee, Knoxville, TN, USA

    Jack J. Dongarra

  6. University of Amsterdam, Amsterdam, The Netherlands

    Peter M. A. Sloot

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Serwata, D., Nurek, M., Michalski, R. (2024). A Perspective on the Ubiquity of Interaction Streams in Human Realm. In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2024. ICCS 2024. Lecture Notes in Computer Science, vol 14836. Springer, Cham. https://doi.org/10.1007/978-3-031-63775-9_26

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  • DOI: https://doi.org/10.1007/978-3-031-63775-9_26

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