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Automatic Clustering of User Communities

A System Architecture

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Agents and Multi-agent Systems: Technologies and Applications 2019

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 148))

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Abstract

A semantic community is a set of individuals who are interested in the contents that refer to a specific domain, around which they aggregate to perform social activities such as sharing, commenting, possibly editing, those contents. Every producer of contents that is interested in interacting on social networks and in general on digital news platforms is interested in actively collaborating with the semantic communities that exist about the topics she produces. In general, moreover, a content producer is interested in fostering communities, mainly because this will generate a higher interest on her contents. In this paper, we illustrate an architecture of a system able to support and manage semantic communities in the framework of a project for digital news delivering. The architecture is illustrated and its basic concept is presented.

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Acknowledgements

Matteo Cristani and Claudio Tomazzoli gratefully thank the company Athesis for their support on this work. All authors gratefully thank Google Inc. for the provision of financial support under the Google Grant of the Digital News Initiative Premium semantic communities.

Author information

Authors and Affiliations

  1. University of Verona, Verona, Italy

    Matteo Cristani & Claudio Tomazzoli

  2. Gruppo Athesis, Verona, Italy

    Michele Manzato & Stefano-Francesco Zuliani

  3. Real T R&TD Department, Ft. Lauderdale, FL, USA

    Simone Scannapieco

Authors
  1. Matteo Cristani
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  2. Michele Manzato
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  3. Simone Scannapieco
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  4. Claudio Tomazzoli
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  5. Stefano-Francesco Zuliani
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Corresponding author

Correspondence to Matteo Cristani .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Gordan Jezic

  2. School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, UK

    Yun-Heh Jessica Chen-Burger

  3. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Mario Kusek

  4. Department of Business Economics & Management, Silesian University, Karviná, Czech Republic

    Roman Šperka

  5. Bournemouth University and KES International Research, Poole, Dorset, UK

    Robert J. Howlett

  6. University of Canberra, Canberra, ACT, Australia

    Lakhmi C. Jain

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Cristani, M., Manzato, M., Scannapieco, S., Tomazzoli, C., Zuliani, SF. (2020). Automatic Clustering of User Communities. In: Jezic, G., Chen-Burger, YH., Kusek, M., Šperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-agent Systems: Technologies and Applications 2019. Smart Innovation, Systems and Technologies, vol 148. Springer, Singapore. https://doi.org/10.1007/978-981-13-8679-4_6

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