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Analysis of Significance and Evolution of Co-authorship Networks

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Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 427))

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Abstract

In co-authorship networks analysis, we may find many interesting tasks. The goals of networks analysis are: studying network structure, detecting communities and their evolution over time, identifying significant authors and relations, and many others. This tutorial is focused on analytical approaches applicable on analysis of co-authorship networks. Mainly three different directions are presented; weighting authors and relations over time, detection and evolution of small communities, and analysis of the evolution of research topics of individual authors.

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Notes

  1. 1.

    http://aminer.org

  2. 2.

    http://academic.research.microsoft.com

  3. 3.

    http://www.forcoa.net

References

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Acknowledgments

This work was supported by the IT4Innovations Centre of Excellence project (CZ.1.05/1.1.00/02.0070), funded by the European Regional Development Fund and the national budget of the Czech Republic via the Research and Development for Innovations Operational Programme and by Project SP2015/146 “Parallel processing of Big data 2” of the Student Grant System, VSB - Technical University of Ostrava.

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Authors and Affiliations

  1. IT4Innovations & Department of Computer Science, VŠB - Technical University of Ostrava, Ostrava, Czech Republic

    Milos Kudelka

Authors
  1. Milos Kudelka
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Corresponding author

Correspondence to Milos Kudelka .

Editor information

Editors and Affiliations

  1. Sci. Network for Innovation & Rec. Exell, Machine Intelligence Research Labs (MIR, Auburn, Washington, USA

    Ajith Abraham

  2. Membre du Groupe Efrei, ESIGETEL, Villejuif, France

    Katarzyna Wegrzyn-Wolska

  3. Faculty of Computers & Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  4. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

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Kudelka, M. (2016). Analysis of Significance and Evolution of Co-authorship Networks. In: Abraham, A., Wegrzyn-Wolska, K., Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015. Advances in Intelligent Systems and Computing, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-319-29504-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-29504-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29503-9

  • Online ISBN: 978-3-319-29504-6

  • eBook Packages: EngineeringEngineering (R0)

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