Complex networks and computational social science have emerged as a truly multidisciplinary endeavor of computational science, statistical physics, and sociology, addressing questions of human behavior quantitatively from the level socially interacting individuals to society level collective dynamics. The development of ICT shapes our ways to communicate, socially interact, do innovations and create products and services making our socio-economic system information-based and thus our ‘real world´, yet at the same time generating Big Data for to be used to study the new reality of our social behavior. Here the tools of complexity science together with ICT-based datasets give insight into the complex structural and dynamic features of social interaction leading to formation of groups and communities, spreading of social influence and collective behavior in social networks. The main research objective is to form an integrated, multi-level view to the complex dynamics of human social interactions up to collective social dynamics.
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