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How to quantify social media influencers: An empirical application at the Teatro alla Scala
A topic of primary importance for organizations is the ability to identify and appraise Social Media Influencers (SMIs), given their key role in affecting conversations and interactions on social media. According to the current research in this area, influencers make up a single category of social m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522665/ https://www.ncbi.nlm.nih.gov/pubmed/31193209 http://dx.doi.org/10.1016/j.heliyon.2019.e01677 |
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author | Deborah, Agostino Michela, Arnaboldi Anna, Calissano |
author_facet | Deborah, Agostino Michela, Arnaboldi Anna, Calissano |
author_sort | Deborah, Agostino |
collection | PubMed |
description | A topic of primary importance for organizations is the ability to identify and appraise Social Media Influencers (SMIs), given their key role in affecting conversations and interactions on social media. According to the current research in this area, influencers make up a single category of social media users, but only limited attention has been paid concerning the extent to which they can exert their influence. In this study, the quantification and classification of SMIs is addressed by proposing an advanced methodology based on social network analysis - K-shell decomposition - together with a discussion on the relationship between the different SMI categories and the effect of each type of influencer on the public relation activity of an organization. The developed methodology was tested through an action research project conducted at the Teatro alla Scala of Milan, and the results were then discussed with the management of the opera house. The main finding of this work is that SMIs can be split into writers, authorities or spreaders on the basis of the kind of influence they exert, thereby delivering a precisely focused typology of SMIs. These findings enhance our academic knowledge on analytics applied to social science, while also providing a real case situation where managers make practical use of analytics. |
format | Online Article Text |
id | pubmed-6522665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-65226652019-05-24 How to quantify social media influencers: An empirical application at the Teatro alla Scala Deborah, Agostino Michela, Arnaboldi Anna, Calissano Heliyon Article A topic of primary importance for organizations is the ability to identify and appraise Social Media Influencers (SMIs), given their key role in affecting conversations and interactions on social media. According to the current research in this area, influencers make up a single category of social media users, but only limited attention has been paid concerning the extent to which they can exert their influence. In this study, the quantification and classification of SMIs is addressed by proposing an advanced methodology based on social network analysis - K-shell decomposition - together with a discussion on the relationship between the different SMI categories and the effect of each type of influencer on the public relation activity of an organization. The developed methodology was tested through an action research project conducted at the Teatro alla Scala of Milan, and the results were then discussed with the management of the opera house. The main finding of this work is that SMIs can be split into writers, authorities or spreaders on the basis of the kind of influence they exert, thereby delivering a precisely focused typology of SMIs. These findings enhance our academic knowledge on analytics applied to social science, while also providing a real case situation where managers make practical use of analytics. Elsevier 2019-05-14 /pmc/articles/PMC6522665/ /pubmed/31193209 http://dx.doi.org/10.1016/j.heliyon.2019.e01677 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Deborah, Agostino Michela, Arnaboldi Anna, Calissano How to quantify social media influencers: An empirical application at the Teatro alla Scala |
title | How to quantify social media influencers: An empirical application at the Teatro alla Scala |
title_full | How to quantify social media influencers: An empirical application at the Teatro alla Scala |
title_fullStr | How to quantify social media influencers: An empirical application at the Teatro alla Scala |
title_full_unstemmed | How to quantify social media influencers: An empirical application at the Teatro alla Scala |
title_short | How to quantify social media influencers: An empirical application at the Teatro alla Scala |
title_sort | how to quantify social media influencers: an empirical application at the teatro alla scala |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522665/ https://www.ncbi.nlm.nih.gov/pubmed/31193209 http://dx.doi.org/10.1016/j.heliyon.2019.e01677 |
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