Resumen

ZARAGOZA SALAZAR, Jorge Esteban  y  TRUEBA ESPINOSA, Adrián. Computational algorithm dynamic merge of cliques to measure the resonance of individuals in social networks. Acta univ [online]. 2015, vol.25, n.2, pp.28-39. ISSN 2007-9621.  https://doi.org/10.15174/au.2015.733.

This article discusses the role social networks have in spreading information. This information can become viral in a matter of hours and could have harmful or beneficial effects on society. In order to measure the spread of information, we propose metrics to measure the resonance (centrality) of an individual in social networks, using algorithms and mathematical models. Highlighting the Dynamic Time Warping (DTW) algorithm on the results obtained with random walk, to simulate a broadcast message as a graph consisting of nodes (people).

Palabras llave : Clique; graphs; social network; centrality; influence; merge; random walk; Dynamic Time Warping.

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