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The Collective-Based Approach to Knowledge Diffusion in Social Networks

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Computational Collective Intelligence (ICCCI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11683))

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Abstract

In this paper we present our work towards creating a model of communication if collectives that is geared towards collective knowledge integration, based on sociological models of social influence. The model allows several different strategies of internalization of knowledge and of forgetting existing knowledge. We test the validity of the model in a general simulation in a multi-agent environment, based on properties of real world group communication derived from sociological literature.

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Acknowledgments

This research is financially supported by Polish Ministry of Higher Education and Science.

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Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

    Marcin Maleszka

Authors
  1. Marcin Maleszka
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Corresponding author

Correspondence to Marcin Maleszka .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. University of Pau and Pays de l’Adour, Pau, France

    Richard Chbeir

  3. University of Pau and Pays de l’Adour, Pau, France

    Ernesto Exposito

  4. University of Pau and Pays de l’Adour, Pau, France

    Philippe Aniorté

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Maleszka, M. (2019). The Collective-Based Approach to Knowledge Diffusion in Social Networks. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11683. Springer, Cham. https://doi.org/10.1007/978-3-030-28377-3_3

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  • DOI: https://doi.org/10.1007/978-3-030-28377-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28376-6

  • Online ISBN: 978-3-030-28377-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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