How to quantify social media influencers: An empirical application at the Teatro alla Scala

被引:21
作者
Deborah, Agostino [1 ]
Michela, Arnaboldi [1 ]
Anna, Calissano [2 ]
机构
[1] Politecn Milan, Dept Management Econ & Ind Engn, Milan, Italy
[2] Politecn Milan, MOX Dept Math, Milan, Italy
关键词
Tourism; Business; Information science; Computer science; MOTIVATIONS; CENTRALITY; TWITTER;
D O I
10.1016/j.heliyon.2019.e01677
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:7
相关论文
共 35 条
[1]   Social media data used in the measurement of public services effectiveness: Empirical evidence from Twitter in higher education institutions [J].
Agostino, Deborah ;
Arnaboldi, Michela .
PUBLIC POLICY AND ADMINISTRATION, 2017, 32 (04) :296-322
[2]   Influence Factorization for identifying authorities in Twitter [J].
Alp, Zeynep Zengin ;
Oguducu, Sule Gunduz .
KNOWLEDGE-BASED SYSTEMS, 2019, 163 :944-954
[3]  
[Anonymous], 2009, Social network analysis: Methods and applications
[4]   How Audiences Seek Out Crisis Information: Exploring the Social-Mediated Crisis Communication Model [J].
Austin, Lucinda ;
Liu, Brooke Fisher ;
Jin, Yan .
JOURNAL OF APPLIED COMMUNICATION RESEARCH, 2012, 40 (02) :188-207
[5]   Mapping and leveraging influencers in social media to shape corporate brand perceptions [J].
Booth, Norman ;
Matic, Julie .
CORPORATE COMMUNICATIONS, 2011, 16 (03) :184-+
[6]   The Internet as potential equalizer: New leverage for confronting social irresponsibility [J].
Coombs, WT .
PUBLIC RELATIONS REVIEW, 1998, 24 (03) :289-303
[7]   Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude [J].
De Veirman, Marijke ;
Cauberghe, Veroline ;
Hudders, Liselot .
INTERNATIONAL JOURNAL OF ADVERTISING, 2017, 36 (05) :798-828
[8]   Exploring the credibility of online celebrities' Instagram profiles in influencing the purchase decisions of young female users [J].
Djafarova, Elmira ;
Rushworth, Chloe .
COMPUTERS IN HUMAN BEHAVIOR, 2017, 68 :1-7
[9]   Intention to comply with crisis messages communicated via social media [J].
Freberg, Karen .
PUBLIC RELATIONS REVIEW, 2012, 38 (03) :416-421
[10]   Who are the social media influencers? A study of public perceptions of personality [J].
Freberg, Karen ;
Graham, Kristin ;
McGaughey, Karen ;
Freberg, Laura A. .
PUBLIC RELATIONS REVIEW, 2011, 37 (01) :90-92