Social Network Analysis: Identifying Virtual Communities on Twitter

Authors

  • James Humberstone Universidad Francisco Gavidia

DOI:

https://doi.org/10.5377/ryr.v50i50.9095

Keywords:

Social network analysis, Data mining, Tweet analysis, Online Community

Abstract

The social network analysis consists of examining structures of entities: data, objects, groups of people, etc.; and their interactions within a community centered on the relationships that exist between them. In the present investigation a methodology is exposed to determine the virtual communities that interact in the platform of the social network Twitter. As validation, the data capture of three media events related to the political action of the candidates for the presidency of El Salvador 2019 was carried out.

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Author Biography

James Humberstone, Universidad Francisco Gavidia

Ingeniero en Ciencias de la Computación y Maestro en Informática Aplicada a Redes por la Universidad Francisco Gavidia. Docente de la Facultad de Ingeniería y Sistemas. Investigador del Laboratorio de Nanotecnología y Centro de Modelaje Matemático en la Universidad Francisco Gavidia. 

Published

2019-12-30

How to Cite

Humberstone, J. (2019). Social Network Analysis: Identifying Virtual Communities on Twitter. Reality and Reflection, 50(50), 70–81. https://doi.org/10.5377/ryr.v50i50.9095