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Detecting Influencing Behaviour for Product-Service Design Through Big Data Intelligence in Manufacturing

  • Michael Petychakis
  • Evmorfia BiliriEmail author
  • Angelos Arvanitakis
  • Ariadni Michalitsi-Psarrou
  • Panagiotis Kokkinakos
  • Fenareti Lampathaki
  • Dimitrios Askounis
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 480)

Abstract

The opportunity to gain insights from social media user generated data has triggered the interest of many companies who see in this a chance to better understand their customers’ preferences and identify trends. However, the huge amount of such data is not always manageable. Identification of influencers for a specific industry and monitoring of their behaviour in social media could be proved of great importance towards the direction of reducing the amount of data for analysis and extracting more useful and targeted insights. In this context, the paper aims to present a platform that will provide data analysts and product-service designers with influencer identification functionalities per industry, topic and in time and will also visualise the correlation among influencers based on specific topics of interest. The platform was evaluated under a use case from the fashion industry.

Keywords

Influencer Big data Social media Business intelligence Manufacturing 

Notes

Acknowledgments

This work has been funded by the European Commission through the FoF-RIA Project PSYMBIOSYS: Product-Service sYMBIOtic SYStems (No. 636804). The authors wish to acknowledge the Commission and all the PSYMBIOSYS project partners for their contribution.

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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Michael Petychakis
    • 1
  • Evmorfia Biliri
    • 1
    Email author
  • Angelos Arvanitakis
    • 1
  • Ariadni Michalitsi-Psarrou
    • 1
  • Panagiotis Kokkinakos
    • 1
  • Fenareti Lampathaki
    • 1
  • Dimitrios Askounis
    • 1
  1. 1.School of Electrical and Computer EngineeringNational Technical University of AthensAthensGreece

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