#Social Networks #Twitter #Politics

Twitter y Política: Información, Opinión y ¿Predicción?

Authors: M. Luz Congosto, Montse Fernández y Esteban Moro Journal: Cuadernos de Comunicación Evoca 4 (2011). LINK Abstract: Estamos a las puertas de una nueva manera de medir la opinión política: mediante la conversación en Red, que permite no sólo conocer el feedback de los ciudadanos a la política, sino también la imagen de los políticos que se refleja en la Red, la dinámica de opinión en comunidades o grupos y el efecto de los diferentes medios de comunicación en dicha conversación. ...

#complexity #conference #humans #social networks

Complex Dynamics of Human Interactions, September 14th 2011

We (together with Kimmo Kaski, Aalto University) are organizing the ECCS'11 Satellite conference “Complex Dynamics of Human Interactions” to be held at Vienna, September 14th. You can find more info at http://www.complexdynamics.org “It’s not enough to have a map of the structure. It is crucial to understand the dynamics of a process”, L. Barábasi Scope The nature of human interaction has undergone a substantial change in the past years and the change does not seem to be over. ...

#Social Networks #Viral #Marketing

Affinity Paths and information diffusion in social networks

Authors: José Luis Iribarren and Esteban Moro Journal: Social Networks 33, 134-142 (2011). LINK | arXiv Abstract: Widespread interest in the diffusion of information through social networks has produced a large number of Social Dynamics models. A majority of them use theoretical hypothesis to explain their diffusion mechanisms while the few empirically based ones average out their measures over many messages of different contents. Our empirical research tracking the step-by-step email propagation of an invariable viral marketing message delves into the content impact and has discovered new and striking features. ...

#Social Networks #Mobile Phone Data #Diffusion #Human behavior

Dynamical strength of social ties in information spreading

Authors: Giovanna Miritello, Esteban Moro y Rubén Lara Journal: Physical Review E (Rapid Comm) 83, 045102 (2011). LINK | arXiv Abstract: We investigate the temporal patterns of human communication and its influence on the spreading of information in social networks. The analysis of mobile phone calls of 20 million people in one country shows that human communication is bursty and happens in group conversations. These features have opposite effects in information reach: while bursts hinder propagation at large scales, conversations favor local rapid cascades. ...

#complexity #diffusion #humans #social networks #viral

Relationship mining

Each day trillions of emails, phone calls, comments on blogs, twitter messages, exchanges in online social networks, etc. are done. Not only the number of communications has increased, but also each of these transactions leaves a digital trace that can be recorded to reconstruct our high-frequency human activity. It is not only the amount and variety of data that is recorded what is important. Also its high-frequency character and its comprehensive nature have allowed researchers, companies and agencies to investigate individual and group dynamics at an unprecedented level of detail and applied them to client modeling, organizational analysis or epidemic spreading [1]. ...