Perspectives in Social Networks: collective intelligence as a tool for analyzing metrics and performance indicators

Authors

  • Paula Toledo Palomino Universidade Federal de São Carlos - UFSCar
  • Leonardo Antonio de Andrade Universidade Federal de São Carlos - UFSCar

Keywords:

inteligência coletiva, métricas, mineração de dados, redes sociais, user generated content (UGC)

Abstract

This article aims to make an analysis of the functioning of social networks as a repository of the collective intelligence of the virtual universe. The aim is to analyze the history and the theoretical concept of social networks, as well as some processes for the use of metrics to create performance indicators, so as to enable a data mining and structured analysis of the same, generating managerial and strategic reports that can be used for a wide variety of purposes, from audience meters to audiovisual products, as indicators in corporate brand management. This work will focus on a case study, where twitter began to be used as a tool for audience measurement in novels and TV series, in order to exemplify the concepts discussed in previous chapters, culminating in the conclusion demonstrating the importance that these tools and virtual environments have today.

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Author Biographies

Paula Toledo Palomino, Universidade Federal de São Carlos - UFSCar

Mestranda em Imagem e Som pela Universidade Federal de São Carlos (UFSCar). Membro do Grupo de Estudos sobre Mídias Interativas em Imagem e Som (GEMInIS).

Leonardo Antonio de Andrade, Universidade Federal de São Carlos - UFSCar

Professor do Depto. de Artes e Comunicação (DAC) - UFSCar e projetista de jogos. Doutor em estereoscopia pela USP - São Carlos.

References

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Published

2013-12-15

How to Cite

TOLEDO PALOMINO, Paula; ANTONIO DE ANDRADE, Leonardo. Perspectives in Social Networks: collective intelligence as a tool for analyzing metrics and performance indicators. Revista GEMInIS, [S. l.], v. 4, n. 2, p. 164–175, 2013. Disponível em: https://revistageminis.ufscar.br/index.php/geminis/article/view/152. Acesso em: 24 nov. 2024.

Issue

Section

Abordagens Multiplataformas

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