Data analysis using circular causality in networks

Complex systems in causal relationships are known to be circular rather than linear; this means that a particular result is not produced by a single cause, but rather that both positive and negative feedback processes are involved. However, although interpreting systemic interrelationships requires a language formed by circles, this has only been developed at the diagram level, and not from an axiomatic point of view. The first difficulty encountered when analysing any complex system is that usually the only data available relate to the various variables, so the first objective was to transform these data into cause-and-effect relationships. Once this initial step was taken, our discrete chaos theory could be applied by finding the causal circles that will form part of the system attractor and allow their behavior to be interpreted. As an application of the technique presented, we analyzed the system associated with the transcription factors of inflammatory diseases.

Los nuevos prosumidores: audiencias de la televisión social. Análisis de Operación Palace en Twitter

En esta contribución se presentan las mediciones sobre la repercusión en Twitter del programa Operación Palace: la verdadera historia del 23f’ emitido en La Sexta el pasado 23 de febrero. Se pretende conocer la actividad de varios perfiles, etiquetas y usuarios. Para realizar el seguimiento se ha utilizado la herramienta creada por la empresa Pirendo. España es uno de los países que registra mayor índice de comentarios en Twitter sobre programas de televisión durante el prime time y Salvados, programa vinculado a este ‘especial’ documental es uno de las emisiones que más impacto consigue en las redes. Así podremos conocer su estrategia, presencia e interacciones en la red Twitter.