Computational network science: From data to social models

Through its data-driven approach computer science change all other sciences. It also refers network science and more specific domain: social network analysis. Social networks can be studied from four main perspectives: data processed by computer science, models developed by physics, human perception analyzed by cognitive science and neuroscience as well as survey research provided by sociology. All four complement each other making social networks one of the most interdisciplinary field. Our new studies on temporal social networks combining automatically traced human activities with their perception derived from periodical interviews will be presented as an example for such cohabitation. Additionally, recent research on information diffusion in complex networks will be discussed.