Advances in data-driven computational social sciences
The increasing availability of large datasets about social dynamics has introduced a paradigm shift in the study of social phenomena towards a data-driven approach. The International Conference on Computational Social Science (ICCSS 2015), held in Helsinki, Finland, from June 8-11, 2015, was the first global event featuring this new type of study, which has established itself at the interface between physical, computer and social sciences. This special issue is a collection of some of the best original contributions presented at the conference. Topics include information sharing, energy consumption, mood propagation through social media, fact checking, homophily, impact dynamics, human mobility, and segregation.
Edited by: Fosca Giannotti, Santo Fortunato, Michael Macy