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Measuring Personal Branding in Social Media: Towards an Influence Indication Score

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Current Trends in Web Engineering (ICWE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10544))

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Abstract

The exploding use of social media sites has allowed everyday people to build their own online personal brand, exploiting the social web to promote their strengths and unique qualities. Such passionate individuals make great fits for certain roles in a company as well as in leadership positions. Moreover, for certain positions the ability of candidates to build a strong personal brand and attract a high number of followers is a robust success predictor. In this direction, we propose a new module for assessing candidates’ personal brand strength, based on their social web activity. This module is then integrated in a company-oriented e-recruitment system which automates the candidate pre-screening process and evaluated as part of a pilot scenario.

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Author information

Authors and Affiliations

  1. Department of Computer and Informatics Engineering, Technological Institution of Western Greece, National Road Antirrio-Ioannina, 30020, Antirrio, Greece

    Evanthia Faliagka & Spiros Sirmakessis

  2. Iquadrat Informatica, Barcelona, Spain

    Kostas Ramantas

  3. Department of Computer Engineering and Informatics, University of Patras, Rion Campus, 26500, Patras, Greece

    Maria Rigou

  4. Hellenic Open University, Parodos Aristotelous 18, 26335, Patras, Greece

    Maria Rigou & Spiros Sirmakessis

Authors
  1. Evanthia Faliagka
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  2. Kostas Ramantas
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  3. Maria Rigou
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  4. Spiros Sirmakessis
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Corresponding author

Correspondence to Spiros Sirmakessis .

Editor information

Editors and Affiliations

  1. Universidad de Alicante, Alicante, Spain

    Irene Garrigós

  2. Institute of Software Technology and Interactive Systems, TU Wien, Vienna, Austria

    Manuel Wimmer

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Faliagka, E., Ramantas, K., Rigou, M., Sirmakessis, S. (2018). Measuring Personal Branding in Social Media: Towards an Influence Indication Score. In: Garrigós, I., Wimmer, M. (eds) Current Trends in Web Engineering. ICWE 2017. Lecture Notes in Computer Science(), vol 10544. Springer, Cham. https://doi.org/10.1007/978-3-319-74433-9_23

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  • DOI: https://doi.org/10.1007/978-3-319-74433-9_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74432-2

  • Online ISBN: 978-3-319-74433-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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