Identification and characterisation of Facebook user profiles considering interaction aspects

Ruas, Pedro H. B.; Machado, Alan D.; Silva, Michelle C.; Meireles, Magali Rezende Gouvêa; Cardoso, Ana María Pereira; Zárate, Luis Enrique; Nobre, Cristiane Neri

doi:10.1080/0144929x.2019.1566498

Cited by 17 publications

(12 citation statements)

References 15 publications

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“…Social media is becoming an increasingly popular source for cluster analysis. Ruas et al (2019) utilized a cluster analysis to classify the activity of Facebook user profiles into the clusters of "viewer" (who largely only consumes information), "participant" (who engages in both consuming and producing information/content) and "content producer" (who largely creates information with minimal consumption of information created by others). Skovsgaard and Van Dalen (2013), conversely, explore why and how people--specifically, politicians--use social media to communicate information.…”

Section: Social Mediamentioning

confidence: 99%

A review of cluster analysis techniques and their uses in library and information science research:k-meansandk-medoidsclustering

Lund

2021

PMM

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PurposeThis literature review explores the definitions and characteristics of cluster analysis, a machine-learning technique that is frequently implemented to identify groupings in big datasets and its applicability to library and information science (LIS) research. This overview is intended for researchers who are interested in expanding their data analysis repertory to include cluster analysis, rather than for existing experts in this area.Design/methodology/approachA review of LIS articles included in the Library and Information Source (EBSCO) database that employ cluster analysis is performed. An overview of cluster analysis in general (how it works from a statistical standpoint, and how it can be performed by researchers), the most popular cluster analysis techniques and the uses of cluster analysis in LIS is presented.FindingsThe number of LIS studies that employ a cluster analytic approach has grown from about 5 per year in the early 2000s to an average of 35 studies per year in the mid- and late-2010s. The journal Scientometrics has the most articles published within LIS that use cluster analysis (102 studies). Scientometrics is the most common subject area to employ a cluster analytic approach (152 studies). The findings of this review indicate that cluster analysis could make LIS research more accessible by providing an innovative and insightful process of knowledge discovery.Originality/valueThis review is the first to present cluster analysis as an accessible data analysis approach, specifically from an LIS perspective.

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Section: Social Mediamentioning

confidence: 99%

A review of cluster analysis techniques and their uses in library and information science research:k-meansandk-medoidsclustering

Lund

2021

PMM

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“…Instagram facilitate informative visuals that lead to emotional appeal that can influence customer engagement in terms of likes and comments, so that Instagram is very suitable as a marketing media for advertising [60] as well as Facebook [61] with the difference that Instagram is more to emotional expression with real experiences while Facebook is more to wide user without likely used by youngster. However, even though Twitter has a similarity as social media with Instagram, this social media is more to conversation, and the interview result showed that Twitter was not suitable to market a product [62][63] [64][65] [66].…”

Section: Customer Can Comment and Respond To Our Posting Of Activities Thus Creates Bonding With Us I Like To Use These Two To Market Thementioning

confidence: 99%

Rationalization of Digital Media in Developing Market Potential for Retail Products: Case Study in Welcoming Industry 5.0

Prihatna¹,

Hereyah²

2021

Proceedings of the 1st MICOSS Mercu Buana International Conference on Social Sciences, MICOSS 2020, September 28-29, 2020, Jaka

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Digital media is a form of technological advance in Industry 4.0 that entrepreneur can utilize it to reach customers. This research aims to analyze, describe, and explain the rationalization of various digital media usage in an integrated manner as a means of marketing communication in an effort to develop the market potential of a product in the current industrial environment with the possibility of enhancement to face industry 5.0. The research was conducted on the issue of the development of product market potential using Qualitative approach and Case Study method toward entrepreneurial firm in retail product. The findings are, the digital media as an important part of industry 4.0 have their respective roles and complement each other as marketing communication tools, and are used in an integrated way to provide information and attract customers. However, even though the industry is moving forward, the business in this case study has no preparation in welcoming industry 5.0 other than the usage of digital media and internet connection (IoT).

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“…Ruas et al (2014), confirmados por Ruas et al (2019), caracterizaram os usuários do Facebook em três perfis de interação: participante, espectador e produtor de conteúdo. Os autores descreveram cada perfil da seguinte forma: o produtor de conteúdo é aquele que possui como principal característica a criação de conteúdo na rede social e, com isso, é esperado que os usuários na rede que possuem conexão com este produtor interajam com este conteúdo através das ações disponíveis (curtir, comentar, compartilhar, dentre outras) na ferramenta.…”

Section: Trabalhos Relacionadosunclassified

“…Os autores identificaram três perfis de usuários existentes: espectadores, usuário que tem como comportamento predominante visualizar o que é postado na rede social, produtores, usuários que criam e publicam conteúdo na rede, e participantes, usuários que têm como principal característica interagir na rede social. Estes perfis foram confirmados em uma pesquisa posterior em que os autores utilizaram-se de métodos de agrupamento e métricas de redes complexas para encontrar os perfis de usuários (Ruas et al, 2019).…”

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Análise da influência cultural na interação dos usuários com o Facebook sob a ótica de tecnologias persuasivas

Nascimento

Silva

Ruas

et al. 2019

BJD

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Facebook é uma rede social usada por mais de um bilhão de usuários, e está presente em vários países tentando influenciar as pessoas a adotarem determinados comportamentos alvos. Este trabalho foi realizado visando analisar a influência cultural na interação dos usuários no contexto das tecnologias persuasivas. Para isso foi realizado um estudo de caso sobre a utilização da rede social Facebook, comparando o Brasil com outros países, sendo os dados da utilização obtidos via questionários e analisados por métodos estatísticos. Concluiu-se que os usuários das culturas analisadas possuem comportamento semelhante na rede.

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Identification and characterisation of Facebook user profiles considering interaction aspects

Cited by 17 publications

References 15 publications

A review of cluster analysis techniques and their uses in library and information science research:k-meansandk-medoidsclustering

A review of cluster analysis techniques and their uses in library and information science research:k-meansandk-medoidsclustering

Rationalization of Digital Media in Developing Market Potential for Retail Products: Case Study in Welcoming Industry 5.0

Análise da influência cultural na interação dos usuários com o Facebook sob a ótica de tecnologias persuasivas

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