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Collaboration in a Hyperconnected World 17th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2016 Porto, Portugal, October 3–5, 2016 |
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Conference papers
Detecting Influencing Behaviour for Product-Service Design Through Big Data Intelligence in Manufacturing
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.
Cited literature [10 references]
https://hal.inria.fr/hal-01614620
Contributor : Hal Ifip <>
Submitted on : Wednesday, October 11, 2017 - 10:41:50 AM
Last modification on : Tuesday, January 14, 2020 - 1:08:02 PM
Document(s) archivé(s) le : Friday, January 12, 2018 - 1:59:50 PM
Contributor : Hal Ifip <>
Submitted on : Wednesday, October 11, 2017 - 10:41:50 AM
Last modification on : Tuesday, January 14, 2020 - 1:08:02 PM
Document(s) archivé(s) le : Friday, January 12, 2018 - 1:59:50 PM
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430868_1_En_31_Chapter.pdf
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Distributed under a Creative Commons Attribution 4.0 International License
