Análisis de redes en twitter para la inserción en comunidades: El caso de un producto agroindustrial

Norman Aguilar-Gallegos; Armando Valdés-López; Manrrubio Muñoz-Rodríguez; Enrique Genaro Martínez-González; Horacio Santoyo-Cortés; Jorge Aguilar-Ávila

Análisis de redes en twitter para la inserción en comunidades: El caso de un producto agroindustrial

Translated title of the contribution: Network analysis in twitter for the insertion into communities: An agroindustrial product case

Norman Aguilar-Gallegos, Armando Valdés-López, Manrrubio Muñoz-Rodríguez, Enrique Genaro Martínez-González, Horacio Santoyo-Cortés, Jorge Aguilar-Ávila^*

^*Corresponding author for this work

Knowledge Technology and Innovation

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

Abstract

The hashtags and relevant content in Twitter, related to the agroindustrial product mezcal were analysed, and the so-called ‘influencers’ were also identified. For doing this, 57.362 tweets were extracted and stored; three networks were built: users-hashtags, retweets, and mentions, which were studied by using social network analysis (SNA). The application of the SNA allowed revealing certain kind of hidden patterns within the social media complex relationships, which can be useful for designing strategies aimed at positioning actors and spread information. The results allow stating that in order to get inserted in the social network, the following should be considered: the use of combined hashtags, the message content kind, including pictures attached, and mentioning the most influential accounts who are embedded in already formed communities.

Translated title of the contribution	Network analysis in twitter for the insertion into communities: An agroindustrial product case
Original language	Spanish
Pages (from-to)	75-81
Number of pages	7
Journal	Interciencia
Volume	44
Issue number	2
Publication status	Published - 1 Feb 2019

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Cite this

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title = "An{\'a}lisis de redes en twitter para la inserci{\'o}n en comunidades: El caso de un producto agroindustrial",

abstract = "The hashtags and relevant content in Twitter, related to the agroindustrial product mezcal were analysed, and the so-called {\textquoteleft}influencers{\textquoteright} were also identified. For doing this, 57.362 tweets were extracted and stored; three networks were built: users-hashtags, retweets, and mentions, which were studied by using social network analysis (SNA). The application of the SNA allowed revealing certain kind of hidden patterns within the social media complex relationships, which can be useful for designing strategies aimed at positioning actors and spread information. The results allow stating that in order to get inserted in the social network, the following should be considered: the use of combined hashtags, the message content kind, including pictures attached, and mentioning the most influential accounts who are embedded in already formed communities.",

author = "Norman Aguilar-Gallegos and Armando Vald{\'e}s-L{\'o}pez and Manrrubio Mu{\~n}oz-Rodr{\'i}guez and Mart{\'i}nez-Gonz{\'a}lez, {Enrique Genaro} and Horacio Santoyo-Cort{\'e}s and Jorge Aguilar-{\'A}vila",

year = "2019",

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T1 - Análisis de redes en twitter para la inserción en comunidades

T2 - El caso de un producto agroindustrial

AU - Aguilar-Gallegos, Norman

AU - Valdés-López, Armando

AU - Muñoz-Rodríguez, Manrrubio

AU - Martínez-González, Enrique Genaro

AU - Santoyo-Cortés, Horacio

AU - Aguilar-Ávila, Jorge

PY - 2019/2/1

Y1 - 2019/2/1

N2 - The hashtags and relevant content in Twitter, related to the agroindustrial product mezcal were analysed, and the so-called ‘influencers’ were also identified. For doing this, 57.362 tweets were extracted and stored; three networks were built: users-hashtags, retweets, and mentions, which were studied by using social network analysis (SNA). The application of the SNA allowed revealing certain kind of hidden patterns within the social media complex relationships, which can be useful for designing strategies aimed at positioning actors and spread information. The results allow stating that in order to get inserted in the social network, the following should be considered: the use of combined hashtags, the message content kind, including pictures attached, and mentioning the most influential accounts who are embedded in already formed communities.

AB - The hashtags and relevant content in Twitter, related to the agroindustrial product mezcal were analysed, and the so-called ‘influencers’ were also identified. For doing this, 57.362 tweets were extracted and stored; three networks were built: users-hashtags, retweets, and mentions, which were studied by using social network analysis (SNA). The application of the SNA allowed revealing certain kind of hidden patterns within the social media complex relationships, which can be useful for designing strategies aimed at positioning actors and spread information. The results allow stating that in order to get inserted in the social network, the following should be considered: the use of combined hashtags, the message content kind, including pictures attached, and mentioning the most influential accounts who are embedded in already formed communities.

M3 - Article

AN - SCOPUS:85064388149

SN - 0378-1844

VL - 44

SP - 75

EP - 81

JO - Interciencia

JF - Interciencia

IS - 2

ER -

Análisis de redes en twitter para la inserción en comunidades: El caso de un producto agroindustrial

Abstract

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