Socio-Technical Systems

The collection and mining of large amounts of digital data is allowing gaining deep insights into the structure and dynamics of large-scale socio-technical systems.

In order to advance more in our current understanding of such systems, we need to develop a proper and efficient way to handle these datasets as well as to implement new algorithms and modeling tools that will ultimately allow extracting new knowledge from them. In this respect, it has become apparent that online social systems are playing a role in the development of different collective phenomena that manifest in the off-line world. Therefore, the analysis of the emergence and evolution of influential social movements in social platforms like Twitter is extremely useful if we aim at making further predictions about human collective behavior.

Find out more by checking our main publications at: MAIN PUBLICATIONS

Structure and Dynamics of Online Socio-technological Systems

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