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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/7453| Extracting real social interactions from social media: a debate of COVID-19 policies in Mexico | |
| Alberto García Rodríguez Tzipe Govezensky CARLOS GERSHENSON GARCIA Gerardo García Naumis Rafael Angel Barrio | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| arXiv:2106.09068 | |
| https://arxiv.org/abs/2106.09068 | |
| A study of the dynamical formation of networks of friends and enemies in social media, in this case Twitter, is presented. We characterise the single node properties of such networks, as the clustering coefficient and the degree, to investigate the structure of links. The results indicate that the network is made from three kinds of nodes: one with high clustering coefficient but very small degree, a second group has zero clustering coefficient with variable degree, and finally, a third group in which the clustering coefficient as a function of the degree decays as a power law. This third group represents ∼2% of the nodes and is characteristic of dynamical networks with feedback. This part of the lattice seemingly represents strongly interacting friends in a real social network. | |
| Cornell University | |
| 16-06-2021 | |
| Preimpreso | |
| arxiv.org | |
| Inglés | |
| Epidemia COVID-19 | |
| Investigadores Público en general | |
| OTRAS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos científicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Extracting real social interactions from social media_ a debate of COVID 19 policies in Mexico.pdf | 7.08 MB | Adobe PDF | Visualizar/Abrir |