Observatorio de I+D+i UPM

Descripción
Over the past years, new technologies and specially online social networks have penetrated into the world's population at an accelerated pace. In this paper we analyze collected data from the web application Twitter, in order to describe the structure and dynamics of the emergent social networks, based on complexity science. We focused on a Venezuelan protest that took place exclusively by Twitter during December, 2010. We found a community structure with highly connected hubs and three different kinds of user behavior that determine the information flow dynamics. We noticed that even though online social networks appear to be a pure social environment, traditional media still holds loads of influence inside the network.
Internacional	Si
JCR del ISI	Si
Título de la revista	Physica a-Statistical Mechanics And Its Applications
ISSN	0378-4371
Factor de impacto JCR	1,373
Información de impacto
Volumen	391
DOI	10.1016/j.physa.2012.05.015
Número de revista	21
Desde la página	5244
Hasta la página	5253
Mes	NOVIEMBRE
Ranking

Esta actividad pertenece a memorias de investigación

• Autor: Alfredo Morales Guzmán (UPM)
• Autor: Juan Carlos Losada Gonzalez (UPM)
• Autor: Rosa Maria Benito Zafrilla (UPM)

• Creador: Grupo de Investigación: Grupo de Sistemas Complejos
• Departamento: Física y Mecánica Fundamentales y Aplicada a la Ingeniería Agroforestal